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Alex Sim
Alex
Sim
Senior Computing Engineer
Phone: +1 510 600 3562
Alex Sim is a senior computing engineer at Lawrence Berkeley National Laboratory. He has worked on R&D in data analysis and management fields for astronomy, climate change simulation, combustion modeling, cosmology, fusion science, genomics, high energy physics, nuclear science, power grid electricity and behavioral economics. In recent years, he has been working on HPC performance modeling, data analytics and learning models for various applications, and autonomous data infrastructure for distributed science applications. He has led projects from the U.S. Department of Energy (DOE) and National Science Foundation (NSF) as a lead PI or Co-PI, and involved in technical program committees, steering and advisory committees for conferences, journal editorial boards, review panels and standard committees, in data, cloud computing, HPC, and networking areas. He has contributed to many paper publications and technical reports, a number of open source software packages, and multiple patented technologies. He is a senior member of IEEE.
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Journal Articles
R. Frehner, K. Wu, A. Sim, J. Kim, K. Stockinger, "Detecting Anomalies in Time Series Using Kernel Density Approaches", IEEE Access, 2024, doi: 10.1109/ACCESS.2024.3371891
H-C. Yang, L. Jin, A. Lazar, A. Todd-Blick, A. Sim, K. Wu, Q. Chen, C. A. Spurlock, "Gender Gaps in Mode Usage, Vehicle Ownership, and Spatial Mobility When Entering Parenthood: A Life Course Perspective", Systems, 2023, 11(6):314, doi: 10.3390/systems11060314
R. Shao, A. Sim, K. Wu, J. Kim, "Leveraging History to Predict Abnormal Transfers in Distributed Workflows", Sensors, 2023, 23(12):5485, doi: 10.3390/s23125485
S. Kim, A. Sim, K. Wu, S. Byna, Y. Son, H. Eom, "Design and Implementation of I/O Performance Prediction Scheme on HPC Systems through Large-scale Log Analysis", Journal of Big Data, 2023, 10(65), doi: 10.1186/s40537-023-00741-4
J. Wang, K. Wu, A. Sim, S. Hwangbo, "Locating Partial Discharges in Power Transformers with Convolutional Iterative Filtering", Sensors, 2023, 23, doi: 10.3390/s23041789
J. Bang, A. Sim, G. Lockwood, H. Eom, H. Sung, "Design and Implementation of Burst Buffer Over-Subscription Scheme for HPC Storage Systems", IEEE Access, 2023, doi: 10.1109/ACCESS.2022.3233829
Sunggon Kim, Alex Sim, Kesheng Wu, Suren Byna, Yongseok Son, "Design and implementation of dynamic I/O control scheme for large scale distributed file systems", Cluster Computing, 2022, 25(6):1--16, doi: 10.1007/s10586-022-03640-0
- Download File: wu2022.bib (bib: 22 KB)
L. Jin, A. Lazar, C. Brown, V. Garikapati, B. Sun, S. Ravulaparthy, Q. Chen, A. Sim, K. Wu, T. Wenzel, T. Ho, C. A. Spurlock, "What Makes You Hold onto That Old Car? Joint Insights from Machine Learning and Multinomial Logit on Vehicle-level Transaction Decisions", Frontiers in Future Transportation, Connected Mobility and Automation, 2022, 3:894654, doi: 10.3389/ffutr.2022.894654
B. Weinger, J. Kim, A. Sim, M. Nakashima, N. Moustafa, K. Wu, "Enhancing IoT Anomaly Detection Performance for Federated Learning", Digital Communications and Networks, Special Issue on Edge Computation and Intelligence, 2022, doi: 10.1016/j.dcan.2022.02.007
A. Syal, A. Lazar, J. Kim, A. Sim, K. Wu, "Network traffic performance analysis from passive measurements using gradient boosting machine learning", International Journal of Big Data Intelligence, 2021, 8:13-30, doi: 10.1504/IJBDI.2021.118741
M. Nakashima, A. Sim, Y. Kim, J. Kim, J. Kim, "Automated Feature Selection for Anomaly Detection in Network Traffic Data", ACM Transactions on Management Information Systems (TMIS), 2021, 12:1-28, doi: 10.1145/3446636
Ling Jin, Alina Lazar, James Sears, Annika Todd, Alex Sim, Kesheng Wu, Hung-Chai Yang, C. Anna Spurlock, "Clustering Life Course to Understand the Heterogeneous Effects of Life Events, Gender and Generation on Habitual Travel Modes", IEEE Access, 2020, 1-17, doi: 10.1109/ACCESS.2020.3032328
I. Monga, C. Guok, J. MacAuley, A. Sim, H. Newman, J. Balcas, P. DeMar, L. Winkler, T. Lehman, X. Yang, "SDN for End-to-end Networked Science at the Exascale", Future Generation Computer Systems, 2020, doi: 10.1016/j.future.2020.04.018
J. Kim, A. Sim, B. Tierney, S. Suh, I. Kim, "Multivariate Network Traffic Analysis using Clustered Patterns", Journal of Computing, April 2019, 101(4):339-361, doi: 10.1007/s00607-018-0619-4
J. Kim, A. Sim, "A new approach to multivariate network traffic analysis", Journal of Computer Science and Technology, 2019, 34(2):388–402, doi: 10.1007/s11390-019-1915-y
Alina Lazar, Ling Jin, C Anna Spurlock, Kesheng Wu, Alex Sim, Annika Todd, "Evaluating the effects of missing values and mixed data types on social sequence clustering using t-SNE visualization", Journal of Data and Information Quality (JDIQ), 2019, 11:1--22,
Taehoon Kim, Jaesik Choi, Dongeun Lee, Alex Sim, C Anna Spurlock, Annika Todd, Kesheng Wu, "Predicting baseline for analysis of electricity pricing", International Journal of Big Data Intelligence, 2018, 5:3--20,
Hongyuan Zhan, Gabriel Gomes, Xiaoye S Li, Kamesh Madduri, Alex Sim, Kesheng Wu, "Consensus ensemble system for traffic flow prediction", IEEE Transactions on Intelligent Transportation Systems, 2018, 19:3903--3914,
W. Yoo, A. Sim, "Time-series Forecast Modeling on High-Bandwidth Wide Area Network Measurements", Journal of Grid Computing, 2016, 14:3:463–476, doi: 10.1007/s10723-016-9368-9
Lingfei Wu, Kesheng John Wu, Alex Sim, Michael Churchill, Jong Y Choi, Andreas Stathopoulos, Choong-Seock Chang, Scott Klasky, "Towards real-time detection and tracking of spatio-temporal features: Blob-filaments in fusion plasma", IEEE Transactions on Big Data, 2016, 2:262--275,
K. Hu, J. Choi, A. Sim, J. Jiang, "Best Predictive Generalized Linear Mixed Model with Predictive Lasso for High-Speed Network Data Analysis", International Journal of Statistics and Probability, 2015,
J. Gu, D. Katramatos, X. Liu, V. Natarajan, A. Shoshani, A. Sim, D. Yu, S. Bradley, S. McKee, "StorNet: Integrated Dynamic Storage and Network Resource Provisioning and Management for Automated Data Transfers", Journal of Physics: Conf. Ser., 2011, 331, doi: 10.1088/1742- 6596/331/1/012002
G. Garzoglio, J. Bester, K. Chadwick, D. Dykstra, D. Groep, J. Gu, T. Hesselroth, O. Koeroo, T. Levshina, S. Martin, M. Salle, N. Sharma, A. Sim, S. Timm, A. Verstegen, "Adoption of a SAML-XACML Profile for Authorization Interoperability across Grid Middleware in OSG and EGEE", Journal of Physics: Conf. Ser., 2011, 331, doi: 10.1088/1742-6596/331/6/062011
D. N. Williams, R. Ananthakrishnan, D. E. Bernholdt, S. Bharathi, D. Brown, M. Chen, A. L. Chervenak, L. Cinquini, R. Drach, I. T. Foster, P. Fox, D. Fraser, J. Garcia, S. Hankin, P. Jones, D. E. Middleton, J. Schwidder, R. Schweitzer, R. Schuler, A. Shoshani, F. Siebenlist, A. Sim, W. G. Strand, M. Su, N. Wilhelmi, "The Earth System Grid: Enabling Access to Multimodel Climate Simulation Data", American Meteorological Society, 2009, 90(2):195-205,
J. Jensen, R. Downing, D. Ross, A. Sim, "Practical Grid Storage Interoperation", Journal of Grid Computing, 2009, 7:3, doi: 10.1007/s10723-009-9127-2
M. Riedel, E. Laure, Th. Soddemann, L. Field, J. P. Navarro, J. Casey, M. Litmaath, J. Ph. Baud, B. Koblitz, C. Catlett, D. Skow, C. Zheng, P. M. Papadopoulos, M. Katz, N. Sharma, O. Smirnova, B. Kónya, P. Arzberger, F. Würthwein, A. S. Rana, T. Martin, M. Wan, V. Welch, T. Rimovsky, S. Newhouse, A. Vanni, Y. Tanaka, Y. Tanimura, T. Ikegami, D. Abramson, C. Enticott, G. Jenkins, R. Pordes, N. Sharma, S. Timm, N. Sharma, G. Moont, M. Aggarwal, D. Colling, O. van der Aa, A. Sim, V. Natarajan, A. Shoshani, J. Gu, S. Chen, G. Galang, R. Zappi, L. Magnoni, V. Ciaschini, M. Pace, V. Venturi, M. Marzolla, P. Andreetto, B. Cowles, S. Wang, Y. Saeki, H. Sato, S. Matsuoka, P. Uthayopas, S. Sriprayoonsakul, O. Koeroo, M. Viljoen, L. Pearlman, S. Pickles, David Wallom, G. Moloney, J. Lauret, J. Marsteller, P. Sheldon, S. Pathak, S. De Witt, J. Mencák, J. Jensen, M. Hodges, D. Ross, S. Phatanapherom, G. Netzer, A. R. Gregersen, M. Jones, S. Chen, P. Kacsuk, A. Streit, D. Mallmann, F. Wolf, T. Lippert, Th. Delaitre, E. Huedo, N. Geddes, "Interoperation of world-wide production e-Science infrastructures", Concurrency and Computation: Practice and Experience, 2009, 21(8):961-990,
P. Jakl, J. Lauret, A. Hanushevsky, A. Shoshani, A. Sim, J. Gu, "Grid data access on widely distributed worker nodes using scalla and SRM", Journal of Physics: Conf. Ser., 2008, 119, doi: 10.1088/1742-6596/119/7/072019
C S Chang, S Klasky, J Cummings, R. Samtaney, A Shoshani, L Sugiyama, D Keyes, S Ku, G Park, S Parker, N Podhorszki, H. Strauss, H Abbasi, M Adams, R Barreto, G Bateman, K Bennett, Y Chen, E D’Azevedo, C Docan, S Ethier, E Feibush, L Greengard, T Hahm, F Hinton, C Jin, A. Khan, A Kritz, P Krsti, T Lao, W Lee, Z Lin, J Lofstead, P Mouallem, M Nagappan, A Pankin, M Parashar, M Pindzola, C Reinhold, D Schultz, K Schwan, D. Silver, A Sim, D Stotler, M Vouk, M Wolf, H Weitzner, P Worley, Y Xiao, E Yoon, D Zorin, "Toward a first- principles integrated simulation of tokamak edge plasmas", Journal of Physics: Conf. Ser., 2008, 125, doi: 10.1088/1742-6596/125/1/012042
R Ananthakrishnan, D E Bernholdt, S Bharathi, D Brown, M Chen, A L Chervenak, L Cinquini, R Drach, I T Foster, P Fox, D Fraser, K Halliday, S Hankin, P Jones, C Kesselman, D E Middleton, J Schwidder, R Schweitzer, R Schuler, A Shoshani, F Siebenlist, A Sim, W G Strand, N Wilhelmi, M Su, D N Williams, "Building a global federation system for climate change research: the earth system grid center for enabling technologies (ESG-CET)", Journal of Physics: Conf. Ser., 2008, 78, doi: 10.1088/1742-6596/78/1/012050
F. Donno, L. Abadie, P. Badino, J. Baud, E. Corso, M. Crawford, S. De Witt, A. Forti, P. Fuhrmann, G. Grosdidier, J. Gu , J. Jensen, S. Lemaitre, M. Litmaath, D. Litvinsev, G. Lo Presti, L. Magnoni, T. Mkrtchan, A. Moibenko, V. Natarajan, G. Oleynik, T. Perelmutov, D. Petravick, A. Shoshani, A. Sim, M. Sponza, R. Zappi, "Storage Resource Manager version 2.2: design, implementation, and testing experience", Journal of Physics: Conf. Ser., 2007, 119, doi: 10.1088/1742-6596/119/6/062028
D. Bernholdt, S. Bharathi, D. Brown, K. Chanchio, M. Chen, A. Chervenak, L. Cinquini, B. Zrach, I. Foster, P. Fox, J. Garcia, C. Kesselman, R. Markel, D. Middleton, V. Nefedova, L. Pouchard, A. Shoshani, A. Sim, G. Strand, D. Williams, "The Earth System Grid: Supporting the Next Generation of Climate Modeling Research", IEEE, 2005, 93(3):485-495,
Ann L. Chervenak, Ewa Deelman, Carl Kesselman, William E. Allcock, Ian T. Foster, Veronika Nefedova, Jason Lee, Alex Sim, Arie Shoshani, Bob Drach, Dean Williams, Don Middleton, "High-performance remote access to climate simulation data: a challenge problem for data grid technologies", Parallel Computing, 2003, 29(10):1335-1356,
A. Sim, H. Nordberg, L.M. Bernardo, A. Shoshani, D. Rotem, "Experience with using CORBA to implement a file caching coordination system", Concurrency and Computation: Practice and Experience, 2001, 13:1-15,
L Bernardo, H Nordberg, D Olson, A Shoshani, A Sim, A Vaniachine, D Zimmerman, B Gibbard, R Porter, T Wenaus, others, "New capabilities in the HENP grand challenge storage access system and its application at RHIC", Computer physics communications, 2001, 140:179--188,
A. Sim, B. Parvin, P. Keagy, "Invariant Representation and Classification of Fruits from X-ray Images", International Journal of Imaging Systems and Technology, 1996, 7:231-237,
Conference Papers
D.K. Sung, Y. Son, A. Sim, K. Wu, S. Byna, H. Tang, H. Eom, C. Kim, S. Kim, "A2FL: Autonomous and Adaptive File Layout in HPC through Real-time Access Pattern Analysis", 38th IEEE International Parallel & Distributed Processing Symposium (IPDPS2024), 2024,
L. Zhou, Q. Lin, K. Chowdhury, S. Masood, A. Eichenberger, H. Min, A. Sim, J. Wang, Y. Wang, K. Wu, B. Yuan, J. Zou, "Serving Deep Learning Model in Relational Databases", 27th International Conference on Extending Database Technology (EDBT2024), 2024,
A, Sharma, X. Li, H. Guan, G. Sun, L. Zhang, L. Wang, K. Wu, L. Cao, E. Zhu, A. Sim, T. Wu, J. Zou, "Automatic Data Transformation Using Large Language Model – An Experimental Study on Building Energy Data", IEEE International Conference on Big Data (BigData), 2023,
C. M. Oguchi, D. Ghosal, A. Sim, K. Wu, "Counterfactual Analysis: A Case Study on Impact of External Events on Building Energy Consumption", International Workshop on Big Data Analytics for Sustainability (BDA4S), 2023,
A. Sim, E. Kissel, D. Hazen, C. Guok, "Experiences in deploying in-network data caches", 26th International Conference on Computing in High Energy & Nuclear Physics (CHEP2023), 2023,
J. Bellavita, C. Sim, K. Wu, A. Sim, S. Yoo, H. Ito, V. Garonne, E. Lancon, "Understanding Data Access Patterns for dCache System", 26th International Conference on Computing in High Energy & Nuclear Physics (CHEP2023), 2023,
C. Sim, K. Wu, A. Sim, I. Monga, C. Guok, D. Hazen, F. Würthwein, D. Davila, H. Newman, J. Balcas, "Predicting Resource Utilization Trends with Southern California Petabyte Scale Cache", 26th International Conference on Computing in High Energy & Nuclear Physics (CHEP2023), 2023,
Z. Deng, A. Sim, K. Wu, C. Guok, I. Monga, F. Andrijauskas, F. Wuerthwein, D. Weitzel, "Analyzing Transatlantic Network Traffic Patterns with Scientific Data Caches", 6th ACM International Workshop on System and Network Telemetry and Analysis (SNTA 2023), 2023, doi: 10.1145/3589012.3594897
C. Sim, K. Wu, A. Sim, I. Monga, C. Guok, F. Wurthwein, D. Davila, H. Newman, J. Balcas, "Effectiveness and predictability of in-network storage cache for Scientific Workflows", International Conference on Computing, Networking and Communication (ICNC 2023), 2023, doi: 10.1109/ICNC57223.2023.10074058
R. Shao, J. Kim A. Sim, K. Wu, "Predicting Slow Connections in Scientific Computing", 5th ACM International Workshop on System and Network Telemetry and Analysis (SNTA) 2022, in conjunction with The 31st ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC), 2022, doi: 10.1145/3526064.3534112
J. Bellavita, A. Sim, K. Wu, I. Monga, C. Guok, F. Würthwein, D. Davila, "Studying Scientific Data Lifecycle in On-demand Distributed Storage Caches", 5th ACM International Workshop on System and Network Telemetry and Analysis (SNTA) 2022, in conjunction with The 31st ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC), 2022, doi: 10.1145/3526064.3534111
R. Han, A. Sim, K. Wu, I. Monga, C. Guok, F. Würthwein, D. Davila, J. Balcas, H. Newman, "Access Trends of In-network Cache for Scientific Data", 5th ACM International Workshop on System and Network Telemetry and Analysis (SNTA), in conjunction with The 31st ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC), 2022, doi: 10.1145/3526064.3534110
J. Kim, M. Cafaro, J. Chou, A. Sim, "SNTA’22: The 5th Workshop on Systems and Network Telemetry and Analytics", In the proceedings of The 31st ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC'22), 2022, doi: 10.1145/3502181.3535108
K. Wang, S. Lee, J. Balewski, A. Sim, P. Nugent, A. Agrawal, A. Choudhary, K. Wu, W-K. Liao, "Using Multi-resolution Data to Accelerate Neural Network Training in Scientific Applications", 22nd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2022), 2022, doi: 10.1109/CCGrid54584.2022.00050
S. Lee, Q. Kang, K. Wang, J. Balewski, A. Sim, A. Agrawal, A. Choudhary, P. Nugent, K. Wu, W-K. Liao, "Asynchronous I/O Strategy for Large-Scale Deep Learning Applications", IEEE International Conference on High Performance Computing, Data & Analytics (HiPC2021), 2021, doi: 10.1109/HiPC53243.2021.00046
J. Bang, C. Kim, K. Wu, A. Sim, S. Byna, H. Sung, H. Eom, "An In-Depth I/O Pattern Analysis in HPC Systems", IEEE International Conference on High Performance Computing, Data & Analytics (HiPC2021), 2021, doi: 10.1109/HiPC53243.2021.00056
A. Lazar, L. Jin, C. Brown, C. A. Spurlock, A. Sim, K. Wu, "Performance of the Gold Standard and Machine Learning in Predicting Vehicle Transactions", the 3rd International Workshop on Big Data Tools, Methods, and Use Cases for Innovative Scientific Discovery (BTSD 2021), 2021, doi: 10.1109/BigData52589.2021.9671286
E. Copps, H. Zhang, A. Sim, K. Wu, I. Monga, C. Guok, F. Würthwein, D. Davila, E. Fajardo, "Analyzing scientific data sharing patterns with in-network data caching", 4th ACM International Workshop on System and Network Telemetry and Analysis (SNTA 2021), 2021, doi: 10.1145/3452411.3464441
Y. Wang, K. Wu, A. Sim, S. Yoo, S. Misawa, "Access Patterns of Disk Cache for Large Scientific Archive", 4th ACM International Workshop on System and Network Telemetry and Analysis (SNTA 2021), 2021, doi: 10.1145/3452411.3464444
A. Lazar, A. Sim, K. Wu, "GPU-based Classification for Wireless Intrusion Detection", 4th ACM International Workshop on System and Network Telemetry and Analysis (SNTA 2021), 2021, doi: 10.1145/3452411.3464445
Y. Ma, F. Ruso, A. Sim, K. Wu, "Adaptive Stochastic Gradient Descent for Deep Learning on Heterogeneous CPU+GPU Architectures", Heterogeneity in Computing Workshop (HCW 2021), in conjunction with the 35th IEEE International Parallel & Distributed Processing Symposium (IPDPS), 2021, doi: 10.1109/IPDPSW52791.2021.00012
B. Weinger, J. Kim, A. Sim, M. Nakashima, N. Moustafa, K. Wu, "Enhancing IoT Anomaly Detection Performance for Federated Learning", The 16th IEEE International Conference on Mobility, Sensing and Networking (IEEE MSN 2020), 2020, doi: 10.1109/MSN50589.2020.00045
B. Cho, T. Dayrit, Y. Gao, Z. Wang, T. Hong, A. Sim, K. Wu, "Effective Missing Value Imputation Methods for Building Monitoring Data", The 2nd International Workshop on Big Data Tools, Methods, and Use Cases for Innovative Scientific Discovery (BTSD 2020) in conjunction with IEEE International Conference on Big Data (IEEE BigData 2020), 2020, doi: 10.1109/BigData50022.2020.9378230
J. Kim, A. Sim, J. Kim, K. Wu, "Botnets Detection Using Recurrent Variational Autoencoder", IEEE Global Communications Conference (Globecom 2020), 2020, doi: 10.1109/GLOBECOM42002.2020.9348169
B. Enders, D. Bard, C. Snavely, L. Gerhardt, J. Lee, B. Totzke, K. Antypas, S. Byna, R. Cheema, S. Cholia, M. Day, A. Gaur, A. Greiner, T. Groves, M. Kiran, Q. Koziol, K. Rowland, C. Samuel, A. Selvarajan, A. Sim, D. Skinner, R. Thomas, G. Torok, "Cross-facility science with the Superfacility Project at LBNL", 2nd Workshop on Large-scale Experiment-in-the-Loop Computing (XLOOP 2020), in conjunction with the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC 20), 2020, doi: 10.1109/XLOOP51963.2020.00006
Sunggon Kim, Alex Sim, Kesheng Wu, Suren Byna, Yongseok Son, Hyeonsang Eom, "Towards hpc i/o performance prediction through large-scale log analysis", Proceedings of the 29th International Symposium on High-Performance Parallel and Distributed Computing (HPDC 2020), 2020, 77--88, doi: 10.1145/3369583.3392678
Gaurav R Ghosal, Dipak Ghosal, Alex Sim, Aditya V Thakur, Kesheng Wu, "A Deep Deterministic Policy Gradient Based Network Scheduler For Deadline-Driven Data Transfers", Proceedings of International Federation for Information Processing (IFIP) Networking Conference (NETWORKING 2020), 2020, 253--261,
Jeeyung Kim, Alex Sim, Jinoh Kim, Kesheng Wu, Jaegyoon Hahm, "Transfer Learning Approach for Botnet Detection Based on Recurrent Variational Autoencoder", ACM International Workshop on System and Network Telemetry and Analysis (SNTA 2020), in conjunction with The 29th ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC 2020), 2020, 41--47, doi: 10.1145/3391812.3396273
Jiwoo Bang, Chungyong Kim, Kesheng Wu, Alex Sim, Suren Byna, Sunggon Kim, Hyeonsang Eom, "HPC Workload Characterization Using Feature Selection and Clustering", ACM International Workshop on System and Network Telemetry and Analysis (SNTA 2020), in conjunction with The 29th ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC 2020), 2020, 33--40, doi: 10.1145/3391812.3396270
M. Nakashima, A. Sim, J. Kim, "Evaluation of Deep Learning Models for Network PerformancePrediction for Scientific Facilities", the 3rd ACM International Workshop on System and Network Telemetry and Analysis (SNTA) 2020, in conjunction with The 29th ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC), 2020, doi: 10.1145/3391812.3396272
S. Bhandari, A. K. Kukreja, A. Lazar, A. Sim, K. Wu, "Feature Selection and Tree-based Classification for Wireless Intrusion Detection", the 3rd ACM International Workshop on System and Network Telemetry and Analysis (SNTA) 2020, in conjunction with The 29th ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC), 2020, doi: 10.1145/3391812.3396274
Qiao Kang, Alex Sim, Peter Nugent, Sunwoo Lee, Wei-keng Liao, Ankit Agrawal, Alok Choudhary, Kesheng Wu, "Predicting Resource Requirement in Intermediate Palomar Transient Factory Workflow", 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID 2020), 2020, 619--628, doi: 10.1109/CCGrid49817.2020.00-31
H. Sung, J. Bang, C. Kim, H. Kim, A. Sim, G. K. Lockwood, H. Eom, "BBOS: Efficient HPC Storage Management via Burst Buffer Over-Subscription", the 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2020), 2020, doi: 10.1109/CCGrid49817.2020.00-79
L. Jin, A. Lazar, J. Sears, A. Todd, A. Sim, K. Wu, C. A. Spurlock, "Life Course as a Contextual System to Investigate the Effects of Life Events, Gender, and Generation on Travel Mode Use", Transportation Research Board (TRB) 99th Annual Meeting, 2020,
A. Lazar, A. Ballow, L. Jin, C. A. Spurlock, A. Sim, K. Wu, "Machine Learning for Prediction of Mid to LongTerm Habitual Transportation Mode Use", International Workshop on Big Data Tools, Methods, and Use Cases for Innovative Scientific Discovery (BTSD), in conjunction with the IEEE International Conference on Big Data (Big Data), 2019, doi: 10.1109/BigData47090.2019.9006411
S. Kim, A. Sim, K. Wu, S. Byna, T. Wang, Y. Son, H. Eom, "DCA-IO: A Dynamic I/O Control Scheme for Parallel and Distributed File System", 19th Annual IEEE/ACM International Symposium in Cluster, Cloud, and Grid Computing (CCGrid 2019), 2019, doi: 10.1109/CCGRID.2019.00049
Sambit Shukla, Dipak Ghosal, Kesheng Wu, Alex Sim, Matthew Farrens, "Co-optimizing Latency and Energy for IoT services using HMP servers in Fog Clusters", 2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC), 2019, 121--128,
Hanul Sung, Jiwoo Bang, Alexander Sim, Kesheng Wu, Hyeonsang Eom, "Understanding Parallel I/O Performance Trends Under Various HPC Configurations", Proceedings of the ACM Workshop on Systems and Network Telemetry and Analytics, 2019, 29--36,
Mengtian Jin, Youkow Homma, Alex Sim, Wilko Kroeger, Kesheng Wu, "Performance prediction for data transfers in LCLS workflow", Proceedings of the ACM Workshop on Systems and Network Telemetry and Analytics, 2019, 37--44,
Olivia Del Guercio, Rafael Orozco, Alex Sim, Kesheng Wu, "Similarity-based Compression with Multidimensional Pattern Matching", Proceedings of the ACM Workshop on Systems and Network Telemetry and Analytics, 2019, 19--24,
Astha Syal, Alina Lazar, Jinoh Kim, Alex Sim, Kesheng Wu, "Automatic detection of network traffic anomalies and changes", Proceedings of the ACM Workshop on Systems and Network Telemetry and Analytics, 2019, 3--10,
Dipak Ghosal, Sambit Shukla, Alex Sim, Aditya V Thakur, Kesheng Wu, "A Reinforcement Learning Based Network Scheduler For Deadline-Driven Data Transfers", 2019 IEEE Global Communications Conference (GLOBECOM), 2019, 1--6,
Qiao Kang, Ankit Agrawal, Alok Choudhary, Alex Sim, Kesheng Wu, Rajkumar Kettimuthu, Peter H Beckman, Zhengchun Liu, Wei-keng Liao, "Spatiotemporal Real-Time Anomaly Detection for Supercomputing Systems", 2019 IEEE International Conference on Big Data (Big Data), 2019, 4381--4389,
Kade Gibson, Dongeun Lee, Jaesik Choi, Alex Sim, "Dynamic Online Performance Optimization in Streaming Data Compression", IEEE International Conference on Big Data (Big Data 2018), 2018, doi: 10.1109/bigdata.2018.8621867
I. Monga, C. Guok, J. MacAuley, A. Sim, H. Newman, J. Balcas, P. DeMar, L. Winkler, T. Lehman, X. Yang, "SDN for End-to-end Networked Science at the Exascale (SENSE)", Innovate the Network for Data-Intensive Science Workshop (INDIS 2018), in conjunction with the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC'18), 2018, doi: 10.1109/INDIS.2018.00007
J. Kim, J. Choi, A. Sim, "Spatio-temporal Analysis of HPC I/O and Connection Data", International Workshop on Scalable Network Traffic Analytics (SNTA 2018), 2018, in conjunction with the 38th IEEE International Conference on Distributed Computing Systems (ICDCS 2018), 2018, doi: 10.1109/icdcs.2018.00176
Cecilia Dao, Xinyu Liu, Alex Sim, Craig Tull, Kesheng Wu, "Modeling data transfers: change point and anomaly detection", 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS), 2018, 1589--1594,
Rajkumar Kettimuthu, Zhengchun Liu, Ian Foster, Peter H Beckman, Alex Sim, Kesheng Wu, Wei-keng Liao, Qiao Kang, Ankit Agrawal, Alok Choudhary, "Towards autonomic science infrastructure: architecture, limitations, and open issues", Proceedings of the 1st International Workshop on Autonomous Infrastructure for Science, 2018, 1--9,
Mengying Yang, Xinyu Liu, Wilko Kroeger, Alex Sim, Kesheng Wu, "Identifying anomalous file transfer events in LCLS workflow", Proceedings of the 1st International Workshop on Autonomous Infrastructure for Science, 2018, 1--4,
Sowmya Balasubramanian, Dipak Ghosal, Kamala Narayanan Balasubramanian Sharath, Eric Pouyoul, Alex Sim, Kesheng Wu, Brian Tierney, "Auto-tuned publisher in a pub/sub system: Design and performance evaluation", 2018 IEEE International Conference on Autonomic Computing (ICAC), 2018, 21--30,
Jonathan Wang, Kesheng Wu, Alex Sim, Seongwook Hwangbo, "Feature Engineering and Classification Models for Partial Discharge in Power Transformers", Mij, 2018, 1001:60,
Tal Shachaf, Alexander Sim, Kesheng Wu, Wilko Kroeger, "Detecting Anomalies in the LCLS Workflow", 2018 IEEE International Conference on Big Data (Big Data), 2018, 3256--3260,
Jinoh Kim, Alex Sim, "A New Approach to Online, Multivariate Network Traffic Analysis", 2nd Workshop on Network Security Analytics and Automation (NSAA), in conjunction with the 26th International Conference on Computer Communications and Networks (ICCCN 2017), 2017, doi: 10.1109/ICCCN.2017.8038520
J. Kim, A. Sim, S.C. Suh, I. Kim, "An Approach to Online Network Monitoring Using Clustered Patterns", International Conference on Computing, Networking and Communications (ICNC 2017), 2017, doi: 10.1109/ICCNC.2017.7876207
J. Kim, W. Yoo, A. Sim, S.C. Suh, I. Kim, "A Lightweight Network Anomaly Detection Technique", International Workshop on Computing, Networking and Communications (CNC 2017), 2017, doi: 10.1109/ICCNC.2017.7876251
Ling Jin, Doris Lee, Alex Sim, Sam Borgeson, Kesheng Wu, C Anna Spurlock, Annika Todd, "Comparison of clustering techniques for residential energy behavior using smart meter data", 2017,
Jonathan Wang, Wucherl Yoo, Alex Sim, Peter Nugent, Kesheng Wu, "Parallel variable selection for effective performance prediction", 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), 2017, 208--217,
Dongeun Lee, Alex Sim, Jaesik Choi, Kesheng Wu, "Improving statistical similarity based data reduction for non-stationary data", Proceedings of the 29th International Conference on Scientific and Statistical Database Management, 2017, 1--6,
Updated experiment version: https://sdm.lbl.gov/oapapers/ssdbm17-lee-upd.pdf
Original version: http://dl.acm.org/citation.cfm?doid=3085504.3085583
Kesheng Wu, Dongeun Lee, Alex Sim, Jaesik Choi, "Statistical data reduction for streaming data", 2017 New York Scientific Data Summit (NYSDS), 2017, 1--6,
Jonathan Wang, Kesheng Wu, Alex Sim, Seongwook Hwangbo, "Convolutional Filtering for Accurate Signal Timing from Noisy Streaming Data", 2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress (DASC/PiCom/DataCom/CyberSciTech, 2017, 941--948,
Alina Lazar, Ling Jin, C Anna Spurlock, Kesheng Wu, Alex Sim, "Data quality challenges with missing values and mixed types in joint sequence analysis", 2017 IEEE International Conference on Big Data (Big Data), 2017, 2620--2627,
Dongeun Lee, Alex Sim, Jaesik Choi, Kesheng Wu, "Novel data reduction based on statistical similarity", Proceedings of the 28th International Conference on Scientific and Statistical Database Management, 2016, 1--12,
Wucherl Yoo, Alex Sim, Kesheng Wu, "Machine learning based job status prediction in scientific clusters", 2016 SAI Computing Conference (SAI), 2016, 44--53,
David Pugmire, James Kress, Jong Choi, Scott Klasky, Tahsin Kurc, Randy Michael Churchill, Matthew Wolf, Greg Eisenhower, Hank Childs, Kesheng Wu, others, "Visualization and analysis for near-real-time decision making in distributed workflows", 2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2016, 1007--1013,
D. Pugmire, J. Kress, J. Choi, S. Klasky, Kurc, R. M. Churchill, M. Wolf, G., H. Childs, K. Wu, A. Sim, J. Gu, J. Low, "Visualization and Analysis for Near-Real-Time Decision in Distributed Workflows", 2016 IEEE International Parallel and Distributed Symposium Workshops (IPDPSW), 2016, 1007--1013, doi: 10.1109/IPDPSW.2016.175
S. Shannigrahi, A. J. Barczyk, C. Papadopoulos, A. Sim, I. Monga, H. Newman, K. Wu, E. Yeh, "Named Data Networking in Climate Research and HEP Applications", 21st International Conference on Computing in High Energy and Nuclear Physics (CHEP2015), 2015,
W. Yoo, A. Sim, "Network Bandwidth Utilization Forecast Model on High Bandwidth Networks", IEEE International Conference on Computing, Networking and Communications (ICNC’15), 2015, doi: 10.1109/ICCNC.2015.7069393
Wucherl Yoo, Michelle Koo, Yi Cao, Alex Sim, Peter Nugent, Kesheng Wu, "Patha: Performance analysis tool for hpc applications", 2015 IEEE 34th International Performance Computing and Communications Conference (IPCCC), 2015, 1--8,
Taehoon Kim, Dongeun Lee, Jaesik Choi, Anna Spurlock, Alex Sim, Annika Todd, Kesheng Wu, "Extracting baseline electricity usage using gradient tree boosting", 2015 IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity), 2015, 734--741,
Taehoon Kim, Dongeun Lee, Jaesik Choi, C. Anna Spurlock, Alex Sim, Annika Todd, Kesheng Wu, "Extracting Baseline Electricity Usage with Gradient Boosting", International Conference on Big Intelligence and Computing (DataCom 2015), 2015, doi: 10.1109/SmartCity.2015.156
W. Yoo, A. Sim, "Efficient Changing Pattern Detection on High Bandwidth Network Measurements", 7th International Conference on Grid and Distributed Computing, 2014,
A. L. Chervenak, A. Sim, J. Gu, R. Schuler, N. Hirpathak, "Adaptation and Policy-Based Resource Allocation for Efficient Bulk Data Transfers in High Performance Computing Environments", 4th International Workshop on Network-aware Data Management (NDM'14), 2014,
A. L. Chervenak, A. Sim, J. Gu, R. Schuler, N. Hirpathak, "Efficient Data Staging Using Performance-Based Adaptation and Policy-Based Resource Allocation", 22nd Euromicro International Conference on Parallel, Distributed and Network-based Processing, 2014,
Lingfei Wu, Kesheng Wu, Alex Sim, Michael Churchill, Jong Y Choi, Andreas Stathopoulos, CS Chang, Scott Klasky, "High-performance outlier detection algorithm for finding blob-filaments in plasma", Proc. of 5rd International Workshop on Big Data Analytics: Challenges and Opportunites (BDAC-14), held in conjunction with ACM/IEEE SC14, 2014,
L. Wu, K. Wu, A. Sim, M. Churchill, J. Y. Choi, A. Stathopoulos, CS Chang, S. Klasky, "High-Performance Outlier Detection Algorithm for Blob-Filaments in Plasma", 5th International Workshop on Big Data Analytics: and Opportunities (BDAC 14), 2014,
K. Hu, A. Sim, D. Antoniades, C. Dovrolis, "Estimating and Forecasting Network Traffic Performance based on Statistical Patterns Observed in SNMP data", the 9th International Conference on Machine Learning and Data Mining (MLDM2013), 2013,
Jong Y Choi, Kesheng Wu, Jacky C Wu, Alex Sim, Qing G Liu, Matthew Wolf, C Chang, Scott Klasky, "Icee: Wide-area in transit data processing framework for near real-time scientific applications", 4th SC Workshop on Petascale (Big) Data Analytics: Challenges and Opportunities in conjunction with SC13, 2013, 11,
Junmin Gu, David Smith, Ann L. Chervenak, Alex Sim, "Adaptive Data Transfers that Utilize Policies for Resource Sharing", The 2nd International Workshop on Network-Aware Data Management Workshop (NDM2012), 2012,
Mehmet Balman, Eric Pouyoul, Yushu Yao, E. Wes Bethel, Burlen Loring, Prabhat, John Shalf, Alex Sim, and Brian L. Tierney, "Experiences with 100G Network Applications", In Proceedings of the Fifth international Workshop on Data-intensive Distributed Computing, in conjunction with ACM High Performance Distributing Computing (HPDC) Conference, 2012, Delft, Netherlands, June 2012, LBNL 5603E, doi: 10.1145/2286996.2287004
- Download File: didc-report.pdf (pdf: 11 MB)
100Gbps networking has finally arrived, and many research and educational in- stitutions have begun to deploy 100Gbps routers and services. ESnet and Internet2 worked together to make 100Gbps networks available to researchers at the Super- computing 2011 conference in Seattle Washington. In this paper, we describe two of the first applications to take advantage of this network. We demonstrate a visu- alization application that enables remotely located scientists to gain insights from large datasets. We also demonstrate climate data movement and analysis over the 100Gbps network. We describe a number of application design issues and host tuning strategies necessary for enabling applications to scale to 100Gbps rates.
Benson Ma, Arie Shoshani, Alex Sim, Kesheng, Yong-Ik Byun, Jaegyoon Hahm, Min-Su Shin, "Efficient Attribute-Based Data Access in Astronomy", The 2nd International Workshop on Network-Aware Data Workshop (NDM2012), 2012, 562--571,
A. Shoshani, I. Altintas, J. Chen, G. Chin, A. Choudhary, D. Crawl, T. Critchlow, K. Gao, B. Grimm, H. Iyer, C. Kamath, A. Khan, S. Klasky, S. Koehler, S. Lang, R. Latham, J. W. Li, W. Liao, J. Ligon, Q. Liu, B. Ludaescher, P. Mouallem, M. Nagappan, N. Podhorszki, R. Ross, D. Rotem, N. Samatova, C. Silva, A. Sim, R. Tchoua, R. Thakur, M. Vouk, K. Wu, W. Yu, "The Scientific Data Management Center: Available Technologies and Highlights", SciDAC Conference, 2011,
Junmin Gu, Dimitrios Katramatos, Xin Liu, Vijaya Natarajan, Arie Shoshani, Alex Sim, Dantong Yu, Scott Bradley, Shawn McKee, "StorNet: Co-Scheduling of End-to-End Bandwidth Reservation on Storage and Network Systems for High Performance Data Transfers", IEEE INFOCOM HSN 2011, 2011,
Dean N. Williams, Ian T. Foster, Don E. Middleton, Rachana Ananthakrishnan, Neill Miller, Mehmet Balman, Junmin Gu, Vijaya Natarajan, Arie Shoshani, Alex Sim, Gavin Bell, Robert Drach, Michael Ganzberger, Jim Ahrens, Phil Jones, Daniel Crichton, Luca Cinquini, David Brown, Danielle Harper, Nathan Hook, Eric Nienhouse, Gary Strand, Hannah Wilcox, Nathan Wilhelmi, Stephan Zednik, Steve Hankin, Roland Schweitzer, John Harney, Ross Miller, Galen Shipman, Feiyi Wang, Peter Fox, Patrick West, Stephan Zednik, Ann Chervenak, Craig Ward, "Earth System Grid Center for Enabling Technologies (ESG-CET): A Data Infrastructure for Data-Intensive Climate Research", SciDAC Conference, 2011,
Alex Sim, Mehmet Balman, Dean N. Williams, Arie Shoshani, Vijaya Natarajan, "Adaptive Transfer Adjustment in Efficient Bulk Data Transfer Management for Climate Datasets", The 22nd IASTED International Conference on Parallel and Distributed Computing and System, Marina Del Rey, CA, November 20, 2010, LBNL 3985E,
- Download File: PDCS2010-balman.pdf (pdf: 1.6 MB)
Many scientific applications and experiments, such as high energy and nuclear physics, astrophysics, climate observation and modeling, combustion, nano-scale material sciences, and computational biology, generate extreme volumes of data with a large number of files. These data sources are distributed among national and international data repositories, and are shared by large numbers of geographically distributed scientists. A large portion of the data is frequently accessed, and a large volume of data is moved from one place to another for analysis and storage. A challenging issue in such efforts is the limited network capacity for moving large datasets. A tool that addresses this challenge is the Bulk Data Mover (BDM), a data transfer management tool used in the Earth System Grid (ESG) community. It has been managing massive dataset transfers efficiently in the environment where the network bandwidth is limited. Adaptive transfer adjustment was studied to enhance the BDM to handle significant end-to-end performance changes in the dynamic network environments as well as to control the data transfers for the desired transfer performance. We describe the results from our hands-on data transfer management experience in the climate research community. We study a practical transfer estimation model and state our initial results from the adaptive transfer adjustment methodology.
Mehmet Balman, Evangelos Chaniotakis, Arie Shoshani, Alex Sim, "A Flexible Reservation Algorithm for Advance Network Provisioning", ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, New Orleans, LA, November 2010 (SC'10)., New Orleans, LA, IEEE Computer Society Washington, DC, USA ISBN: 978-1-4244-7559-, November 14, 2010, LBNL 4017E, doi: http://dx.doi.org/10.1109/SC.2010.4
- Download File: rpt79306.PDF (PDF: 2.8 MB)
Many scientific applications need support from a communication infrastructure that provides predictable performance, which requires effective algorithms for bandwidth reservations. Network reservation sys- tems such as ESnet’s OSCARS, establish guaranteed bandwidth of secure virtual circuits for a certain bandwidth and length of time. However, users currently cannot inquire about bandwidth availability, nor have alternative suggestions when reservation requests fail. In general, the number of reservation options is exponential with the number of nodes n, and current reservation commitments. We present a novel approach for path finding in time-dependent networks taking advantage of user-provided parameters of total volume and time constraints, which produces options for earliest completion and shortest duration. The theoretical complexity is only O(n2r2) in the worst-case, where r is the number of reservations in the desired time interval. We have implemented our algorithm and developed efficient methodologies for incorporation into network reservation frameworks. Performance measurements confirm the theoretical predictions.
G. Attebury, A. Baranovski, K. Bloom, B. Bockelman, D. Kcira, J. Letts, T. Levshina, C. Lundestedt, T. Martin, W. Maier, H. Pi, A. Rana, I. Sfiligoi, A. Sim, M. Thomas, F. Wuerthwein, "Roadmap for Applying Hadoop Distributed File System in Scientific Grid Computing", International Symposium on Grid Computing (ISGC), 2010,
Julian Cummings, Jay Lofstead, Karsten Schwan, Alexander Sim, Arie Shoshani, Ciprian Docan, Manish Parashar, Scott Klasky, Norbert Podhorszki, Roselyne Barreto, "EFFIS: An End-to-end Framework for Fusion Integrated Simulation", 18th Euromicro Conference on Parallel, Distributed and Network-based Processing, 2010,
Daren Hasenkamp, Alexander Sim, Michael Wehner, Kesheng Wu, "Finding tropical cyclones on a cloud computing cluster: Using parallel virtualization for large-scale climate simulation analysis", 2010 IEEE Second International Conference on Cloud Computing Technology and Science, 2010, 201--208, LBNL 4218E,
- Download File: LBNL-4218E.pdf (pdf: 559 KB)
Raj Kettimuthu, Alex Sim, Dan Gunter, Bill Allcock, Peer T. Bremer, John Bresnahan, Andrew Cherry, Lisa Childers, Eli Dart, Ian Foster, Kevin Harms, Jason Hick, Jason Lee, Michael Link, Jeff Long, Keith Miller, Vijaya Natarajan, Valerio Pascucci, Ken Raffenetti, David Ressman, Dean Williams, Loren Wilson, Linda Winkler, "Lessons learned from moving earth system grid data sets over a 20 Gbps wide-area network", HPDC 10, New York, NY, USA, ACM, 2010, 316--319, doi: 10.1145/1851476.1851519
G. Attebury, A. Baranovski, K. Bloom, B. Bockelman, D. Kcira, J. Letts, T. Levshina, C. Lundestedt, T. Martin, W. Maier, H. Pi, A. Rana, I. Sfiligoi, A. Sim, M. Thomas, F. Wuerthwein, "Hadoop Distributed File System for the Grid", IEEE Nuclear Science Symposium, 2009,
K Wu, S Ahern, EW Bethel, J Chen, H Childs, C Geddes, J Gu, H Hagen, B Hamann, J Lauret, others, "FastBit: Interactively Searching Massive Data", Proc. of SciDAC 2009, 2009, LBNL 2164E,
- Download File: LBNL-2164E.pdf (pdf: 3.2 MB)
D. N. Williams, R. Ananthakrishnan, D. E. Bernholdt, S. Bharathi, D. Brown, M. Chen, A. L. Chervenak, L. Cinquini, R. Drach, I. T. Foster, P. Fox, S. Hankin, V. E. Henson, P. Jones, D. E. Middleton, J. Schwidder, R. Schweitzer, R. Schuler, A Shoshani, F. Siebenlist, A. Sim, W. G. Strand, N. Wilhelmi, M. Su, "Data Management and Analysis for the Earth System Grid", SciDAC Conference, 2008,
W. Betts, L. Didenko, T. Freeman, P. Jakl, L. Hajdu, E. Hjort, K. Keahey, J. Lauret, D. Olson, A. Rose, I. Sakrejda, A. Sim, "STAR Grid Activities, OSG and Beyond", International Symposium on Grid Computing (ISGC), 2008,
Meiyappan Nagappan, Mladen A. Vouk, Kesheng Wu Alex Sim, Arie Shoshani, "Efficient Operational Profiling of Systems Using Arrays on Execution Logs", ISSRE, 2008, 313--314, doi: 10.1109/ISSRE.2008.45
L. Abadie, P. Badino, J. Baud, E. Corso, M. Crawford, S. De Witt, F. Donno, A. Forti, P. Fuhrmann,
G. Grosdidier, J. Gu , J. Jensen, S. Lemaitre, M. Litmaath, D. Litvinsev, G. Lo Presti, L. Magnoni, T. Mkrtchan, A. Moibenko, V. Natarajan, G. Oleynik, T. Perelmutov, D. Petravick, A. Shoshani, A. Sim, M. Sponza, R. Zappi,
"Storage Resource Managers: Recent International Experience on Requirements and Multiple Co-Operating Implementations",
the 24th IEEE Conference on Mass Storage Systems and Technologies,
2007,
D. E. Middleton, D. E. Bernholdt, D. Brown, M. Chen, A. L. Chervenak, L. Cinquini, R. Drach, P. Fox, P. Jones, C. Kesselman, I. T. Foster, V. Nefedova, A. Shoshani, A. Sim, W. G. Strand, D. Williams, "Enabling worldwide access to climate simulation data: the earth system grid (ESG)", SciDAV Conference, 2006,
P. Jakl, J. Lauret, A. Hanushevky, A. Shoshani, A. Sim, "From rootd to Xrootd, from physical to logical files: experience on accessing and managing distributed data", Computing in High Energy Physics (CHEP), 2006,
E. Hjort, L. Hajdu, J. Lauret, D. Olson, A. Sim, A. Shoshani, "Data and Computational Grid Coupling in RHIC/STAR – An Analysis Scenario using SRM Technology", Computing in High Energy Physics (CHEP), 2006,
A. Shoshani, A. Sim, K. Stockinger, "RRS: Replica Registration Service for Data Grids", International Workshop on Data Management in Grids, 2005,
Kesheng Wu, Junmin Gu, Jerome Lauret, Arthur Poskanzer, Arie Shoshani, Alexander Sim, Zhang, "Grid Collector: Facilitating Efficient Selective from Data Grids", International Supercomputer Conference 2005, 2005,
Eric Hjort, Doug Olson, Jerome Lauret, Arie Shoshani, Alex Sim, "Production mode Data- Replication framework in STAR using the HRM Grid middleware", Computing in High Energy Physics, 2004,
Alex Sim, Junmin Gu, Arie Shoshani, Vijaya Natarajan, "DataMover: Robust Terabytes-Scale Multi-file Replication over Wide-Area Networks", the 16th International Conference on Scientific and Statistical Database Management (SSDBM 2004), 2004,
A. Sim, J. Gu, A. Shoshani, E. Hjort, D. Olson, "Experience with Deploying Storage Resource Managers to Achieve Robust File Replication", Computing in High Energy Physics, 2003,
D. Yu, J. Lauret, A. Shoshani, D. Oldon, E. Hjort, A. Sim, "The Design of High Performance Data Replication in the Grid Environment for the STAR Collaboration", Computing in High Energy Physics, 2003,
L. Pouchard, L. Cinquini, B. Drach, D. Middleton, D. Bernholdt, K. Chanchio, I. Foster, V. Nefedova, D. Brown, P. Fox, J. Garcia, G. Strand, D. Williams, A. Chervenak, C. Kesselman, A. Shoshani, A. Sim, "An Ontology for Scientific Information in a Grid Environment: the Earth System Grid", the Symposium on Cluster Computing and the Grid (CCGrid), 2003,
Kesheng Wu, Wei-Ming Zhang, Alexander Sim, Gu, Arie Shoshani, "Grid Collector: An Event Catalog With Automated File", Proceedings of IEEE Nuclear Science Symposium 2003, 2003, doi: 10.1109/NSSMIC.2003.1351830
A. Shoshani, A. Sim, J. Gu, "Storage Resource Managers: Middleware components for Grid Storage", the 19th IEEE Symposium on Mass Storage Systems, 2002,
B. Allcock, I. Foster, V. Nefedova, A. Chervenak, E. Deelman, C. Kesselman, J. Lee, A. Sim, A. Shoshani, B. Drach, D. Williams, "High-Performance Remote Access to Climate Simulation Data: A Challenge Problem for Data Grid Technologies", Super Computing 2001, 2001,
E. Hjort, D. Olson, A. Sim, J. Yang, J. Lauret, M. Messer, "Data Grid Services in STAR, Initial Deployment: Site-to-Site File Replication", Computing in High Energy Physics, 2001,
D. Olson, E. Hjort, J. Lauret, M. Messer, A. Shoshani, A. Sim, "Non-shared Disk Cluster - A Fault Tolerant, Commodity Approach to Hi-Bandwidth Data Analysis", Computing in High Energy Physics, 2001,
L. Bernardo, H. Nordberg, D. Olson, A. Sim, A. Vaniachine, D. Zimmerman, B. Gibbard, R. Porter, T. Wenaus, D., "New capabilities in the HENP Grand Challenge Storage System and its application at RHIC", Computer Physics Communications, 2001, 140:179--188,
A. Shoshani, A. Sim, L.M. Bernerdo, H. Nordberg, "Coordinating Simultaneous Caching of File Bundles from Tertiary Storage", International Conference on Scientific and Statistical Database Management (SSDBM), 2000,
L. M. Bernardo, B. Gibbard, D. Malon, H. Nordberg, D. Olson, R. Porter, A. Shoshani, A. Sim, A. Vaniachine, T. Wenaus, K. Wu, D. Zimmerman, "New Capabilities in the HENP Grand Challenge Storage Access System and its Application at RHIC", Computing in High Energy Physics, 2000,
L. M. Bernardo, A. Shoshani, A. Sim, H. Nordberg, "Access Coordination Of Tertiary Storage For High Energy Physics Applications", the 17th IEEE Symposium on Mass Storage Systems, 2000,
A. Sim, H. Nordberg, L. M. Bernardo, A. Shoshani, D. Rotem, "Storage Access Coordination Using CORBA", Distributed Objects and Application, 1999, 168-175,
A. Shoshani, L.M. Bernardo, H. Nordberg, D. Rotem and A. Sim, "Multidimensional Indexing and Query Coordination for Tertiary Storage Management", International Conference on Scientific and Statistical Database Management, 1999, 214-225,
A. Shoshani, L.M. Bernardo, H. Nordberg, D. Rotem, A. Sim, "Storage Management for High Energy Physics Applications", Computing in High Energy Physics, 1998,
A. Sim, B. Parvin, P. Keagy, "Invariant Representation and Hierarchical Network for Inspection of Nuts from X-ray Images", IEEE International Conference on Neural Networks, 1995, II:738-743,
A. Sim, B. Parvin, P. Keagy, "Machine Vision Inspection of Insect Infested Pistachio Nuts from X-ray Images", Vision Interface, 1995, 17-22,
Book Chapters
Wucherl Yoo, Michelle Koo, Yi Cao, Alex Sim, Peter Nugent, Kesheng Wu, "Performance Analysis Tool for HPC and Big Data Applications on Scientific Clusters", Conquering Big Data with High Performance Computing, (Springer, Cham: 2016) Pages: 139--161
David H. Bailey, Stephanie Ger, Marcos L\ opez Prado, Alexander Sim, Kesheng Wu, "Statistical Overfitting and Backtest Performance", http://ssrn.com/abstract2507040, ( January 1, 2014)
ISBN 978-1-78548-008-9
A. Sim, D. Gunter, V. Natarajan, A. Shoshani, D. Williams, J. Long, J. Hick, J. Lee, E. Dart, "Efficient Bulk Data Replication for the Earth System Grid", Data Driven E-science: Use Cases and Successful Applications of Distributed Computing Infrastructures (ISGC 2010), (Springer-Verlag New York Inc: 2010) Pages: 435
Arie Shoshani, Flavia Donno, Junmin Gu, Jason Hick, Maarten Litmaath, Alex Sim, "Dynamic Storage Management", Scientific Data Management: Challenges, Technology, and Deployment, edited by Arie Shoshani, Doron Rotem, (Chapman & Hall/CRC Computational Science: 2009)
A. Shoshani, A. Sim, K. Stockinger, "RRS: Replica Registration Service for Data Grids", Lecture Notes in Computer Science, edited by Jean-Marc Pierson, (Springer-Verlag GmbH Publisher: 2006) Pages: 100-112
Arie Shoshani, Alexander Sim, Junmin Gu, "Storage Resource Managers: Essential Components for the Grid", Grid Resource Management: State of the Art and Future Trends, edited by Jarek Nabrzyski, Jennifer M. Schopf, Jan Weglarz, (Kluwer Academic Publishers: 2003)
Presentation/Talks
C. Guok, E. Kissel, A. Sim, ESnet's In-Network Caching Pilot, The Network Conference 2023 (TNC'23), 2023,
C. Sim, K. Wu, A. Sim, I. Monga, C. Guok, F. Wurthwein, D. Davila, H. Newman, J. Balcas, Predicting Resource Usage Trends with Southern California Petabyte Scale Cache, 26th International Conference on Computing in High Energy & Nuclear Physics (CHEP 2023), 2023,
J. Bellavita, C. Sim, K. Wu, A. Sim, S. Yoo, H. Ito, V. Garonne, E. Lancon, Understanding Data Access Patterns for dCache System, 26th International Conference on Computing in High Energy & Nuclear Physics (CHEP 2023), 2023,
E. Kissel, A. Sim, C. Guok, Experiences in deploying in-network data caches, 26th International Conference on Computing in High Energy & Nuclear Physics (CHEP 2023), 2023,
H-C. Yang, L. Jin, A. Lazar, A. Todd-Blick, A. Sim, K. Wu, Q. Chen, C. A. Spurlock, Gender Gaps in Mode Usage, Vehicle Ownership, and Spatial Mobility When Entering Parenthood: A Life Course Perspective, Transportation Research Board 102nd Annual Meeting,, 2023,
John Wu, Bin Dong, Alex Sim, Automating Data Management Through Unified Runtime Systems, DOE ASCR Workshop on the Management and Storage of Scientific Data, 2022, doi: 10.2172/1843500
John Wu, Ben Brown, Paolo Calafiura, Quincey Koziol, Dongeun Lee, Alex Sim, Devesh Tiwari, Support for In-Flight Data Analyses in Scientific Workflows, DOE ASCR Workshop on the Management and Storage of Scientific Data, 2022, doi: 10.2172/1843500
D. Bard, C. Snavely, L. Gerhardt, J. Lee, B. Totzke, K. Antypas, S. Byna, R. Cheema, S. Cholia, M. Day, B. Enders, A. Gaur, A. Greiner, T. Groves, M. Kiran, Q. Koziol, K. Rowland, C. Samuel, A. Selvarajan, A. Sim, D. Skinner, R. Thomas, G. Torok, The Superfacility project: automated pipelines for experiments and HPC, International Conference for High Performance Computing, Networking, Storage, and Analysis (SC20), State of the Practice (SOP), 2020,
A. Sim, Statistical Pattern Detection with Locally Exchangeable Measures, International Conference on Advanced Communications and Computation (INFOCOMP 2020), 2020,
L. Jin, A. Lazar, J. Sears, A. Todd, A. Sim, K. Wu, C. A. Spurlock, Life course as a contextual system to investigate the effects of life events, gender and generation on travel mode usage, The Behavior, Energy & Climate Change Conference (BECC), 2019,
K. Hu, A. Sim, D. Antoniades, C. Dovrolis, Statistical Prediction Models for Network Traffic Performance, the APAN 35 conference and the Winter 2013 ESCC/Internet2 Joint Techs meeting (TIP2013), 2013,
Arie Shoshani, Alex Sim, Junmin Gu, Storage Resource Managers: Essential Components for Grid Applications, Globus World, 2003,
A. Sim, A. Shoshani, HRM: Hierarchical Resource Manager, Globus World, 2000,
A. Sim, A. Shoshani, L. M. Bernardo, H. Nordberg, A Storage Access Coordination System for Perabyte Scale Scientific Data, IONA World, 2000,
Reports
J. Wang, K. Wu, A. Sim, S. Hwangbo, "Feature Engineering and Classification Models for Partial Discharge in Power Transformers", arXiv, 2022, doi: 10.48550/arXiv.2210.12216
D. Bard, C. Snavely, L. Gerhardt, J. Lee, B. Totzke, K. Antypas, W. Arndt, J. Blaschke, S. Byna, R. Cheema, S. Cholia, M. Day, B. Enders, A. Gaur, A. Greiner, T. Groves, M. Kiran, Q. Koziol, T. Lehman, K. Rowland, C. Samuel, A. Selvarajan, A. Sim, D. Skinner, L. Stephey, R. Thomas, G. Torok, "LBNL Superfacility Project Report", Lawrence Berkeley National Laboratory, 2022, doi: 10.48550/arXiv.2206.11992
J. Kim, M. Jin, Y. Homma, A. Sim, W. Kroeger, K. Wu, "Extract Dynamic Information To Improve Time Series Modeling: a Case Study with Scientific Workflow", arXiv, 2022, doi: 10.48550/arXiv.2205.09703
A. Sim, E. Kissel, C. Guok, "Deploying in-network caches in support of distributed scientific data sharing", arXiv whitepaper, 2022, doi: /10.48550/arXiv.2203.06843
C. A. Spurlock, A. Gopal, J. Auld, P. Leiby, C. Sheppard, T. Wenzel, S. Belal, A. Duvall, A. Enam, S. Fujita, A. Henao, L. Jin, E. Kontou, A. Lazar, Z. Needell, C. Rames, T. Rashidi, J. Sears, A. Sim, M. Stinson, M. Taylor, A. Todd-Blick, O. Verbas, V. Walker, J. Ward, G. Wong-Parodi, K. Wu, H.-C. Yang, "SMART Mobility, Mobility Decision Science Capstone Report", Vehicle Technologies Office (VTO), Office of Energy Efficiency and Renewable Energy (EERE), US Department of Energy, 2020,
J. Kim, A. Sim, "Peeking Network States with Clustered Patterns", 2015, LBNL 1003744,
David H Bailey, Stephanie Ger, Marcos L\ opez de Prado, Alexander Sim, "Statistical overfitting and backtest performance", Risk-Based and Factor Investing, 2015,
http://ssrn.com/abstract=2507040
L. Wu, K. Wu, A. Sim, M. Churchill, J. Y. Choi, A. Stathopoulos, C.S. Chang, S. Klasky, "Towards Real-Time Detection and Tracking of Blob-Filaments in Fusion Plasma Big Data", WM-CS-2015-01, Department of Computer Science, College of William and Mary, 2015, doi: 10.48550/arXiv.1505.03532
W. Yoo, A. Sim, "Network Bandwidth Utilization Forecast Model on High Bandwidth Network", 2014, LBNL 6677E,
J. Choi, K. Hu, A. Sim, "Relational Dynamic Bayesian Networks with Locally Exchangeable Measures", 2013, LBNL 6341E,
K. Hu, J. Choi, J. Jiang, A. Sim, "Best Predictive GLMM using LASSO with Application on High- Speed Network", 2013, LBNL 6327E,
M. Balman, A. Sim, "Scaling the Earth System Grid to 100Gbps Networks", 2012, LBNL 5794E,
D. Yu, D. Katramatos, A. Shoshani, A. Sim, J. Gu, V. Natarajan, "StorNet: Integrating Storage Resource Management with Dynamic Network Provisioning for Automated Data Transfer", International Committee for Future Accelerators (ICFA) Standing Committee on Inter-Regional Connectivity (SCIC) 2012 Report: Networking for High Energy Physics, 2012,
M. Balman, E. Chaniotakis, A. Shoshani, A. Sim, "A New Approach in Advance Network Reservation and Provisioning for High-Performance Scientific Data Transfers", 2010, LBNL 4091E,
Arie Shoshani, Alex Sim, Kurt Stockinger, "Replica Registration Service Functional Interface Specification 1.0", 2005, LBNL 57520,
Kesheng Wu, Wei-Ming Zlang, Alexander Sim, Junmin Gu, Arie Shoshani, "Grid collector: An event catalog with automated file management", 2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No. 03CH37515), 2003, LBNL 55563,
L.M. Bernardo, D. Rotem, A. Shoshani, H. Nordberg, A. Sim, "Using Access Patterns to Partition Large Datasets on Tertiary Storage in Order to Minimize Retrieval Costs", 1998, LBNL 41504,
Posters
J. W. Chung, A. Sim, B. Quiter, Y. Wu, W. Zhao, K. Wu, "Preparing Spectral Data for Machine Learning: A Study of Geological Classification from Aerial Surveys", Machine Learning and the Physical Sciences Workshop (ML4PS), 2023,
R. Monga, A. Sim (advisor), K. Wu (advisor), "Comparative Study of the Cache Utilization Trends for Regional Scientific Data Caches", ACM/IEEE The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC’23), ACM Student Research Competition (SRC), First place winner, 2023,
Julian Bellavita, Alex Sim (advisor), John Wu (advisor), "Predicting Scientific Dataset Popularity Using dCache Logs", ACM/IEEE The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC’22), ACM Student Research Competition (SRC), Second place winner, 2022,
The dCache installation is a storage management system that acts as a disk cache for high-energy physics (HEP) data. Storagespace on dCache is limited relative to persistent storage devices, therefore, a heuristic is needed to determine what data should be kept in the cache. A good cache policy would keep frequently accessed data in the cache, but this requires knowledge of future dataset popularity. We present methods for forecasting the number of times a dataset stored on dCache will be accessed in the future. We present a deep neural network that can predict future dataset accesses accurately, reporting a final normalized loss of 4.6e-8. We present a set of algorithms that can forecast future dataset accesses given an access sequence. Included are two novel algorithms, Backup Predictor and Last N Successors, that outperform other file prediction algorithms. Findings suggest that it is possible to anticipate dataset popularity in advance.
C. Sim, C. Guok (advisor), A. Sim (advisor), K. Wu (advisor), "Data Throughput Performance Trends of Regional Scientific Data Cache", ACM/IEEE The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC’22), ACM Student Research Competition (SRC), 2022,
A. Pereira, A. Sim, K. Wu, S. Yoo, H. Ito, "Data access pattern analysis for dCache storage system", International Conference on High Performance Computing in Asia-Pacific Region (HPC Asia 2022), 2022,
J. Cheung, A. Sim, J. Kim, K. Wu, "Performance Prediction of Large Data Transfers", ACM/IEEE The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC21), ACM Student Research Competition (SRC), 2021,
E. Copps, A. Sim (Advisor), K. Wu (Advisor), "Analyzing scientific data sharing patterns with in-network data caching", ACM Richard Tapia Celebration of Diversity in Computing (TAPIA 2021), ACM Student Research Competition (SRC), 2021,
Brett Weinger, Alex Sim (Advisor), John Wu (Advisor), Jinoh Kim (Advisor), "Enhancing IoT Anomaly Detection Performance for Federated Learning", International Conference for High Performance Computing, Networking, Storage and Analysis (SC’20), ACM Student Research Competition (SRC), 2020,
J. Balcas, H. Newman, M. Spiropulu, X. Yang, T. Lehman, I. Monga, C. Guok, J. MacAuley, A. Sim, P. Demar, "SDN for End-to-End Networking at Exascale", the 24th International Conference on Computing in High Energy and Nuclear Physics (CHEP2019), 2019,
Alexandra Ballow, Alina Lazar (Advisor), Alex Sim (Advisor), Kesheng Wu (Advisor), "Handling Missing Values in Joint Sequence Analysis", ACM Richard Tapia Celebration of Diversity in Computing (TAPIA 2019), ACM Student Research Competition (SRC), First place winner, Pages: 19 2019,
Alexandra Ballow, Alina Lazar, Alex Sim, Kesheng Wu, "Joint Sequence Analysis Challenges: How to Handle Missing Values and Mixed Variable Types", SIAM Conference on Computational Science and Engineering (CSE19), 2019,
Tyler Leibengood, Alina Lazar, Alex Sim, Kesheng Wu, "Network Traffic Performance Prediction with Multivariate Clusters in Time Windows", SIAM Conference on Computational Science and Engineering (CSE19), 2019,
Olivia Del Guercio, Rafael Orozco, Alex Sim, Kesheng Wu, "Multidimensional Compression with Pattern Matching", 2019 Data Compression Conference (DCC), Pages: 567--567 2019,
Burak Cetin, Alina Lazar, Jinoh Kim, Alex Sim, Kesheng Wu, "Federated Wireless Network Intrusion Detection", 2019 IEEE International Conference on Big Data (Big Data), Pages: 6004--6006 2019,
Karen Tu, Alex Sim (Advisor), John Wu (Advisor), "Identification of Network Data Transfer Bottlenecks in HPC Systems", International Conference for High Performance Computing, Networking, Storage and Analysis (SC’18), ACM Student Research Competition (SRC), 2018,
Alina Lazar, Kesheng Wu, Alex Sim, "Predicting Network Traffic Using TCP Anomalies", 2018 IEEE International Conference on Big Data (Big Data), Pages: 5369--5371 2018,
Dongeun Lee, Alex Sim, Jaesik Choi, Kesheng Wu, "Expanding statistical similarity based data reduction to capture diverse patterns", 2017 Data Compression Conference (DCC), Pages: 445--445 2017,
Jonathan Wang, Kesheng Wu, Alex Sim, Seongwook Hwangbo, "Feature Engineering and Classification Models for Partial Discharge Events in Power Transformers", Proceedings of the Fourth IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, Pages: 269--270 2017,
Peter Harrington, Wucherl Yoo, Alexander Sim, Kesheng Wu, "Diagnosing parallel I/O bottlenecks in HPC applications", International Conference for High Performance Computing Networking Storage and Analysis (SCI7) ACM Student Research Competition (SRC), 2017,
Jonathan Wang, Kesheng Wu, Alex Sim, Seongwook Hwangbo, "Accurate signal timing from high frequency streaming data", 2017 IEEE International Conference on Big Data (Big Data), Pages: 4852--4854 2017,
Sam Fries, Sasha Ames, Alex Sim, Dean Williams, "HPSS Connections to ESGF: BASEJumper", 2016 Earth System Grid Federation (ESGF) Conference, 2016,
M. Bae, W. Yoo (Advisor), A. Sim (Advisor), K. Wu (Advisor), "Discovering Energy Resource Usage Patterns on Scientific Clusters", International Conference for High Performance Computing, Networking, Storage and Analysis (SC’16), ACM Student Research Competition (SRC), Third place winner, 2016, 2016,
M. Bryson, S. Byna (Advisor), A. Sim (Advisor), K. Wu (Advisor), "The Search for Missing Parallel IO Performance on the Cori Supercomputer", International Conference for High Performance Computing, Networking, Storage and Analysis (SC’16), ACM Student Research Competition (SRC), 2016,
Jonathan Wang, Wucherl Yoo, Alex Sim, K John Wu, "Analysis of Variable Selection Methods on Scientific Cluster Measurement Data", 2016,
S. Fries, A. Sim, "HPSS connections to ESGF", Earth System Grid Federation Conference, (ESGF 2015), 2015,
M. Koo, W. Yoo (advisor), A. Sim (advisor), "I/O Performance Analysis Framework on Measurement Data from Scientific Clusters", International Conference for High Performance Computing, Networking, Storage and Analysis (SC’15), ACM Student Research Competition (SRC), 2015, 2015,
John Wu, Alex Sim, Lingfei Wu, Abraham Frankl, Scott Klasky, Jong Y Choi, CS Chang, Michael Churchill, "Exercising ICEE Framework with Fusion Blob Detection", DOE/ASCR NGNS PI meeting, 2014,
Lingfei Wu, Kesheng Wu, Alex Sim, Andreas Stathopoulos, "Real-time outlier detection algorithm for finding blob-filaments in plasma", ACM/IEEE SC14 ACM SRC Poster, 2014,
D. Antoniades, K. Hu, A. Sim, C. Dovrolis, "What SNMP data can tell us about Edge-to-Edge network performance", Passive and Active Measurement Conference (PAM2013), 2013,
D. Hasenkamp, A. Sim, M. Wehner, K. Wu, "Finding Tropical Cyclones on Clouds", Supercomputing 2010, ACM SRC 3rd place, 2010,
Others
Yujing Ma, Florin Rusu, Kesheng Wu, Alexander Sim, 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), Pages: 1088--1097 2022, doi: 10.1109/IPDPSW55747.2022.00177
- Download File: wu2022.bib (bib: 22 KB)
Ling Jin, Alina Lazar, Caitlin Brown, Bingrong Sun, Venu Garikapati, Srinath Ravulaparthy, Qianmiao Chen, Alexander Sim, Kesheng Wu, Tin Ho, Thomas Wenzel, C. Anna Spurlock, What Makes You Hold on to That Old Car? Joint Insights from Machine Learning and Multinomial Logit on Vehicle-level Transaction Decisions, Transportation Research Board 101st Annual Meeting, 2022,
- Download File: wu2022.bib (bib: 22 KB)
Y. Ma, F. Rusu, K. Wu, A. Sim, Adaptive Elastic Training for Sparse Deep Learning on Heterogeneous Multi-GPU Servers, arXiv preprint arXiv:2110.07029, 2021,
J. Kim, A. Sim, J. Kim, K, Wu, J. Hahm, Improving Botnet Detection with Recurrent Neural Network and Transfer Learning, arXiv preprint arXiv:2104.12602, 2021,
Jeeyung Kim, Alex Sim, Jinoh Kim, Kesheng Wu, Botnet Detection Using Recurrent Variational Autoencoder, arXiv preprint arXiv:2004.00234, 2020,
J. Choi, A. Sim, Data reduction methods, systems and devices, U.S. Patent No. 10,366,078, 2019,
U.S. Patent No. 10,366,078, “DATA REDUCTION METHODS, SYSTEMS, AND DEVICES”, LBNL IB2013-133.
Kesheng Wu, Alex Sim, Jonathan Wang, Seongwook Hwangbo, Methods, systems, and devices for accurate signal timing of power component events, 2019,
US Patent app no. 20190138371, “Methods, systems, and devices for accurate signal timing of power component events”
Alex Sim, Dongeun Lee, K. John Wu, Implementation of Dynamic Extensible Adaptive Locally Measures (IDEALEM) v 0.1, 2016,
W. Yoo, M. Koo, Y. Cao, A. Sim, P. Nugent, K. Wu, PATHA: Performance Analysis Tool for HPC, 2015 IEEE 34th International Performance Computing and Conference (IPCCC), Pages: 1--8 2015, doi: 10.1109/PCCC.2015.7410313
D. Yu, D. Katramatos, A. Sim, A. Shoshani, Co-scheduling of network resource provisioning and host-to-host bandwidth reservation on high-performance network and storage systems, US Patent No. 8,705,342, 2014,
US Patent 8,705,342 B2. “Co-scheduling of network resource provisioning and host-to-host bandwidth reservation on high-performance network and storage systems”, D. Yu, D. Katramatos, A. Sim, and A. Shoshani, Apr. 22, 2014, LBNL IB-3152, BNL BSA 11-02.
