NOWLAB :: Publications

This page lists the publications by Wasiur (M. W.) Rahman as the first author

Journals (2)
1	M. W. Rahman, N. Islam, X. Lu, D. Shankar, and DK Panda, MR-Advisor: A Comprehensive Tuning, Profiling, and Prediction Tool for MapReduce Execution Frameworks on HPC Clusters, Journal of Parallel and Distributed Computing (JPDC), Nov 2017.
2	M. W. Rahman, N. Islam, X. Lu, and DK Panda, A Comprehensive Study of MapReduce over Lustre for Intermediate Data Placement and Shuffle Strategies on HPC Clusters, IEEE Transactions on Parallel and Distributed Systems, Jul 2016.

Conferences & Workshops (10)
1	NVMD: Non-Volatile Memory Assisted Design for Accelerating MapReduce and DAG Execution Frameworks on HPC Systems M. W. Rahman, N. Islam, X. Lu, and DK Panda, 2017 IEEE International Conference on Big Data (IEEE Big Data 2017), Dec 2017 [Short Paper] [Bib - Plain]
2	Can Non-Volatile Memory Benefit MapReduce Applications on HPC Clusters? M. W. Rahman, N. Islam, X. Lu, and DK Panda, First Joint International Workshop on Parallel Data Storage & Data Intensive Scalable Computing Systems (PDSW-DISCS, SC Workshop), Nov 2016 [Bib - Plain]
3	MR-Advisor: A Comprehensive Tuning Tool for Advising HPC Users to Accelerate MapReduce Applications on Supercomputers M. W. Rahman, N. Islam, X. Lu, D. Shankar, and DK Panda, 28th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD'16), Oct 2016 [Bib - Plain]
4	High-Performance Design of YARN MapReduce on Modern HPC Clusters with Lustre and RDMA M. W. Rahman, X. Lu, N. Islam, R. Rajachandrasekar, and DK Panda, IPDPS '15, May 2015 [Bib - Plain]
5	Performance Modeling for RDMA-Enhanced Hadoop MapReduce M. W. Rahman, X. Lu, N. Islam, and DK Panda, 43rd International Conference on Parallel Processing (ICPP), Sep 2014 [Bib - Plain]
6	MapReduce over Lustre: Can RDMA-based Approach Benefit? M. W. Rahman, X. Lu, N. Islam, R. Rajachandrasekar, and DK Panda, 20th International European Conference on Parallel Processing (Euro-Par), Aug 2014 [Bib - Plain]
7	HOMR: A Hybrid Approach to Exploit Maximum Overlapping in MapReduce over High Performance Interconnects M. W. Rahman, X. Lu, N. Islam, and DK Panda, International Conference on Supercomputing (ICS '14), Jun 2014 [Bib - Plain]
8	Does RDMA-based Enhanced Hadoop MapReduce Need a New Performance Model? M. W. Rahman, X. Lu, N. Islam, and DK Panda, ACM Symposium on Cloud Computing (SoCC '13), Poster Paper, Oct 2013 [Bib - Plain]
9	High-Performance RDMA-based Design of Hadoop MapReduce over InfiniBand M. W. Rahman, N. Islam, X. Lu, J. Jose, H. Subramoni, H. Wang, and DK Panda, International Workshop on High Performance Data Intensive Computing (HPDIC), May 2013 [Bib - Plain]
10	Understanding the Communication Characteristics in HBase: What are the Fundamental Bottlenecks? M. W. Rahman, J. Huang, J. Jose, X. Ouyang, H. Wang, N. Islam, H. Subramoni, C. Murthy, and DK Panda, International Symposium on Performnce Analysis of Systems and Software (ISPASS '12), Poster Paper, Apr 2012 [Bib - Plain]

Ph.D. Disserations (1)
1	M. W. Rahman, Designing and Modeling High-Performance MapReduce and DAG Execution Framework on Modern HPC Systems, Nov 2016