Dr. Sriram Kailasam

Associate Professor

SriramK Dr. Sriram Kailasam  B.E (IT), Ph.DE-mail:sriramk@ssn.edu.in

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Sriram Kailasam completed his BE in IT from Mumbai University in 2005. After working in the software industry for 1 year, he joined IIT Madras for MS. He upgraded the MS programme to PhD programme and completed his PhD in July 2014 under the guidance of Prof. D. Janakiram. His main research projects have extended the MapReduce framework along three dimensions: (a) handling skews in a MapReduce job (Chisel, Chisel++) (b) scaling a MapReduce job across multiple clusters connected by the Internet (BStream) (c) introducing new abstractions for modeling complex algorithms e.g. support for recursive applications (GMR). His current interests include designing algorithms for cloud-assisted systems, wide-area stream analytics and distributed event processing.

Selected Publications

Sriram Kailasam, Prateek Dhawalia, S J Balaji, Geeta Iyer, and Janakiram Dharanipragada, “Extending MapReduce across Clouds with BStream,” accepted in IEEE Transactions on Cloud Computing, March 2014.

Janakiram Dharanipragada, Geeta Iyer, and Sriram Kailasam, “Generate-Map-Reduce: An extension to Map-Reduce to support shared data and recursive computations,” Concurrency and Computation: Practice and Experience, vol. 26, no. 2, pp. 561-585, Feb. 2014.

PrateekDhawalia, SriramKailasam, and JanakiramDharanipragada, “Chisel++: Handling Partitioning Skew in MapReduce Framework Using Efficient Range Partitioning Technique,” accepted in IEEE 6thInternational Workshop on Data-intensive Distributed Computing (DIDC’14) collocated with HPDC 2014,  Vancouver, Canada, 2014.

PrateekDhawalia, SriramKailasam, and JanakiramDharanipragada, “Chisel: A Resource Savvy Approach for Handling Skew in MapReduce Applications,” in IEEE 6th International Conference on Cloud Computing (CLOUD’13), Santa Clara, CA, USA, 2013

Sriram Kailasam, N. Gnanasambandam, Janakiram Dharanipragada, and N. Sharma, “Optimizing ordered throughput using autonomic cloud bursting schedulers,” IEEE Transactions on Software Engineering, vol. 39, no. 11, pp. 1564-1581, Nov. 2013.

Sriram Kailasam, Santosh Kumar, and Janakiram Dharanipragada, “Arogyasree: An enhanced grid-based approach to mobile telemedicine,” International Journal of Telemedicine and Applications, vol. 2010, Article ID 536237, 2010.

Refereed Journal Papers
Sriram Kailasam, Prateek Dhawalia, S J Balaji, Geeta Iyer, and Janakiram Dharanipragada, Extending MapReduce across Clouds with BStream, In: IEEE Transactions on Cloud Computing, vol. 2, no. 3, pp. 362-376, Sept. 2014, DOI: 10.1109/TCC.2014.2316810.

Janakiram Dharanipragada, Geeta Iyer, and Sriram Kailasam, Generate-Map-Reduce: An extension to Map-Reduce to support shared data and recursive computations, In: Concurrency and Computation: Practice and Experience, vol. 26, no. 2, pp. 561-585, Feb. 2014, DOI: 10.1002/cpe.3018.

Sriram Kailasam, N. Gnanasambandam, Janakiram Dharanipragada, and N. Sharma, Optimizing ordered throughput using autonomic cloud bursting schedulers, In: IEEE Transactions on Software Engineering, vol. 39, no. 11, pp. 1564-1581, Nov. 2013, DOI:10.1109/TSE.2013.26; Cited by 2.

Sriram Kailasam, Santosh Kumar, and Janakiram Dharanipragada, Arogyasree: An enhanced grid-based approach to mobile telemedicine, In: International Journal of Telemedicine and Applications, vol. 2010, Article ID 536237, pp. 1-11, 2010, DOI:10.1155/2010/536237; Cited by 10.

Refereed Conference Papers
Harisankar Haridas, Sriram Kailasam, and Janakiram Dharanipragada, Cloudy Knapsack Problems: an Optimization Model for Distributed Cloud-assisted Systems, In: IEEE 14th International Conference on Peer-to-Peer Computing (P2P’14), pp. 1-5, London, England, Sep. 2014, DOI: 10.1109/P2P.2014.6934313.

Prateek Dhawalia, Sriram Kailasam, and Janakiram Dharanipragada, Chisel: A Resource Savvy Approach for Handling Skew in MapReduce Applications, In: IEEE 6th International Conference on Cloud Computing (CLOUD’13), pp. 652-660, Santa Clara, CA, USA, Jul. 2013, DOI: 10.1109/CLOUD.2013.43; Cited by 2.

Refereed Workshop Papers
Prateek Dhawalia, Sriram Kailasam, and Janakiram Dharanipragada,
Chisel++: Handling Partitioning Skew in MapReduce Framework Using Efficient Range Partitioning Technique, In: 6th International Workshop on Data-intensive Distributed Computing collocated with 23rd ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC ’14), pp. 21-28, Vancouver, Canada, Jun. 2014, DOI: 10.1145/2608020.2608021

Sriram Kailasam, N. Gnanasambandam, Janakiram Dharanipragada, and N. Sharma, Optimizing service level agreements for autonomic cloud bursting schedulers, In: IEEE 6th International Workshop on Scheduling and Resource Management for Parallel and Distributed Systems collocated with 39th International Conference on Parallel Processing (ICPP ’10), pp. 285-294, San Diego, CA, USA, Sep. 2010, DOI: 10.1109/ICPPW.2010.54; Cited by 21.

Non Refereed Publications
Harisankar Haridas, Sriram Kailasam, Prateek Dhawalia, Prateek Shrivastava, Santosh Kumar, and Janakiram Dharanipragada, V-cloud: A Peer-to-peer Video Storage-Compute Cloud, In: 21st International ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC’12), Delft, The Netherlands, 2012 [Poster].

Sriram Kailasam, Santosh Kumar, and Janakiram Dharanipragada, Mobile telemedicine using data grid, In: International Conference on Communication, Convergence, and Broadband Networking, pp. 1-6, IISC, Bangalore, India, 2008; Cited by 5.

Patent
S. Gnanasambandam, Naveen Sharma, and Sriram Kailasam, System And Method For Automated Handling Of Document Processing Workload, US Patent 20,120,057,191, granted Mar 8, 2012.
Xerox Corporation.