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Mariam Kiran

new mk
Mariam Kiran
Research Scientist
ESnet/CRD

Biographical Sketch

Mariam Kiran is a research scientist with shared positions with Energy Sciences Network (ESnet page) and the Scientific Data Management (SDM) group in Computational Research Division. Her work specifically concentrates on using advanced software and machine learning techniques to advance system architectures, particularly high-speed networks such as DOE networks. 

Her current work is exploring reinforcement learning, unsupervised clustering and classification techniques to optimally control distributed network resources, improving high-speed big data transfers for exascale science applications and optimize how current network infrastructure is utilized. Kiran is the recipient of the DOE ASCR Early Career Award in 2017.  Before joining LBNL in 2016, Kiran held positions as a lecturer and research fellow at the Universities of Sheffield and Leeds in the UK. She earned her undergrad and PhD degree in software engineering and computer science from the University of Sheffield, UK in 2011.

More updates on research projects: HomePage.

 

 

Journal Articles

M Kiran, B Mohammed and N. Krishnaswamy, "DeepRoute: Herding Elephant and Mice Flows with Reinforcement Learning", 2nd IFIP International Conference on Machine Learning for Networking (MLN'2019), December 2, 2019,

M Kiran, A Chhabra, "Understanding flows in high-speed scientific networks: A Netflow data study", Future Generation Computer Systems, February 1, 2019, 94:72-79,

Mariam Kiran, Anshuman Chhabra, "Understanding flows in high-speed scientific networks: A Netflow data study", Future Generation Computer Science, 2019,

F Alali, N Hanford, E Pouyoul, R Kettimuthu, M Kiran, B Mack-Crane, B Tierney, Y Kumar, D Ghosal, "Calibers: A bandwidth calendaring paradigm for science workflows", Future Generation Computer Systems, 2018, 89:736--745, doi: 10.1016/j.future.2018.07.030

B Mohammed, B Modu, KM Maiyama, H Ugail, I Awan, M Kiran, "Failure Analysis Modelling in an Infrastructure as a Service (Iaas) Environment", Electronic Notes in Theoretical Computer Science, 2018, 340:41--54, doi: 10.1016/j.entcs.2018.09.004

M Gribaudo, M Iacono, M Kiran, "A performance modeling framework for lambda architecture based applications", Future Generation Computer Systems, 2018, 86:1032--1041, doi: 10.1016/j.future.2017.07.033

M Kiran, E Pouyoul, A Mercian, B Tierney, C Guok, I Monga, "Enabling intent to configure scientific networks for high performance demands", Future Generation Computer Systems, 2018, 79:205--214, doi: 10.1016/j.future.2017.04.020

T Eftonova, M Kiran, M Stannett, "Long-term Macroeconomic Dynamics of Competition in the Russian Economy using Agent- based Modelling.", IJSDA, 2017, 6:1--20,

B Mohammed, M Kiran, KM Maiyama, MM Kamala, IU Awan, "Failover strategy for fault tolerance in cloud computing environment", Software - Practice and Experience, 2017, 47:1243--1274, doi: 10.1002/spe.2491

B Mohammed, M Kiran, I-U Awan, KM Maiyama, "An Integrated Virtualized Strategy for Fault Tolerance in Cloud Computing Environment", 2016 INT IEEE CONFERENCES ON UBIQUITOUS INTELLIGENCE \& COMPUTING, ADVANCED \& TRUSTED COMPUTING, SCALABLE COMPUTING AND COMMUNICATIONS, CLOUD AND BIG DATA COMPUTING, INTERNET OF PEOPLE, AND SMART WORLD CONGRESS (UIC/ATC/SCALCOM/CBDCOM/IOP/SMARTWORLD), 2016, 542--549, doi: 10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.158

M Kiran, A Simons, "Testing Software Services in Cloud Ecosystems", International Journal of Cloud Applications and Computing, 2016, 6:42--58, doi: 10.4018/ijcac.2016010103

Conference Papers

B Mohammed, M Kiran, N Krishnaswamy, "DeepRoute on Chameleon: Experimenting with Large-scale Reinforcement Learning and SDN on Chameleon Testbed", IEEE 27th International Conference on Network Protocols (ICNP), IEEE, November 14, 2019, 1-2,

George Papadimitriou, Mariam Kiran, Cong Wang, Anirban Mandal, Ewa Deelman, "Training Classifiers to Identify TCP Signatures in Scientific Workflows", INDIS, SC19, November 14, 2019,

B Mohammed, N Krishnaswamy, M Kiran, "Multivariate Time-Series Prediction for Traffic in Large WAN Topology", ACM/IEEE Symposium on Architectures for Networking and Communications, August 1, 2019,

A Bennaceur, A Cano, L Georgieva, M Kiran, M Salama, P Yadav, "Issues in gender diversity and equality in the UK", Proceedings - International Conference on Software Engineering, 2018, 5--9, doi: 10.1145/3195570.3195571

A Mercian, M Kiran, E Pouyoul, B Tierney, I Monga, "INDIRA: Application Intent network assistant to configure SDN-based high performance scientific networks", Optics InfoBase Conference Papers, 2017, Part F40, doi: 10.1364/OFC.2017.Tu3L.6

M Usman, A Iqbal, M Kiran, "A bandwidth friendly architecture for Cloud Gaming", International Conference on Information Networking, 2017, 179--184, doi: 10.1109/ICOIN.2017.7899500

KM Maiyama, D Kouvatsos, B Mohammed, M Kiran, MA Kamala, "Performance modelling and analysis of an OpenStack IaaS cloud computing platform", Proceedings - 2017 IEEE 5th International Conference on Future Internet of Things and Cloud, FiCloud 2017, 2017, 2017-Jan:198--205, doi: 10.1109/FiCloud.2017.54

B Mohammed, M Kiran, IU Awan, KM Maiyama, "Optimising fault tolerance in real-time cloud computing IaaS environment", Proceedings - 2016 IEEE 4th International Conference on Future Internet of Things and Cloud, FiCloud 2016, 2016, 363--370, doi: 10.1109/FiCloud.2016.58

B Mohammed, M Kiran, "Analysis of Cloud Test Beds Using OpenSource Solutions", Proceedings - 2015 International Conference on Future Internet of Things and Cloud, FiCloud 2015 and 2015 International Conference on Open and Big Data, OBD 2015, 2015, 195--203, doi: 10.1109/FiCloud.2015.106