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Ojus Thomas, L, MadhuKumar SD, Chandran P.  2016.  6. ECSim:A Simulation Tool for Performance Evaluation of Erasure Coded Storage Systems. Symposium on Emerging Topics in Computing and Communications (SETCAC'16). , Jaipur
MadhuKumar, SD, Reshmi G.  2012.  An Adaptive Method for Node Revocation in Peer-to-Peer Networks. International Conference on Cloud Computing Technology and Management (ICCCTAM 12). , Dubai. UAE
MadhuKumar, SD, Bellur U.  2006.  Adaptive Overlays for Event Based Middleware: A Case for Chordal Reliability Rings. In Proceedings of the Fourteenth International Conference on Advanced Computing and Communications (ADCOM 2006). :38-43., Mangalore,India: IEEE
MadhuKumar, SD, Bellur U, Kiran EK.  2007.  Adding Underlay Aware Fault Tolerance to Hierarchical Event Broker Networks. The Second International Conference on Software and Data Technologies, ICSOFT 07. :99-105., Barcelona Abstract


Regi, NT, Shabeera TP, MadhuKumar SD.  2017.  An algorithm for distance-aware VM allocation with guaranteed bandwidth. IEEE Region 10 Symposium (TENSYMP), 2017. :1–5.: IEEE Abstract
AnitaBrigit, M, MadhuKumar SD.  2015.  Analysis of Data Management and Query handling in Social Networks using NoSQL Databases. Fourth International Conference on Advances in Computing, Communications and Informatics (ICACCI-2015) ( Accepted). , Cochin, India: IEEE Explore
Anu, CM, MadhuKumar SD, Alfredo C.  2018.  Automatic Provenance Capture at Middleware in Big Data Context. Book Chapter in the Book -. Connected Environments for the IoT: Challenges and Solutions. , University of Derby, United Kingdom: Springer Verlag Gmbh, ISBN: 9783319701011
MadhuKumar, SD, Bellur U.  2008.  Availability Models for Underlay Aware Overlay Networks, july 2008. The Second International Conference on Distributed Event Based Systems, DEBS 08. , Rome, Italy
Shabeera, TP, MadhuKumar SD.  2013.  'Bandwidth-Aware Data Placement Scheme for Hadoop, December 2013. IEEE Recent Advances in Intelligent Computational Systems (IEEE RAICS). , Trivandrum, India
Jose, B, Ramanan RT, MadhuKumar SD.  2017.  Big data provenance and analytics in telecom contact centers. Region 10 Conference, TENCON 2017-2017 IEEE. :1573–1578.: IEEE Abstract
Chacko, A, MadhuKumar SD.  2017.  Big data provenance research directions. Region 10 Conference, TENCON 2017-2017 IEEE. :651–656.: IEEE Abstract
Gilesh, MP, MadhuKumar SD, Jacob L.  2018.  Bounding the Cost of Virtual Machine Migrations for Resource Allocation in Cloud Data Centers, April 2018. ACM SAC Cloud Computing Track. , Pau, France
AnuMary, C, AjeebBasheer M, MadhuKumar SD.  2015.  Capturing Provenance for Big Data Analytics done Using SQL interface, 4, December. IEEE UP Section Conference on Electrical, Computer and Electronics (IEEE UPCON2015). , Allahabad
MadhuKumar, SD, S.M.M.M.KalyanKumar, SureshChandraMoharana, Chimakurthi L.  2011.  A Cloud Based Scheme for Constraint-less Mobile Computing. International Conference on Emerging Technology Trends in Cloud Computing. , Kollam,India
RahulPrasad, K, Shabeera TP, MadhuKumar SD.  2016.  A Comparative Evaluation of VM Placement Techniques in Map Reduce Cloud. Manipal Journal of Science & Technology(MJST). 1(1):30-37.
Pillai, SP, MadhuKumar SD, Radharamanan T.  2017.  Consolidating evidence based studies in software cost/effort estimation. Region 10 Conference, TENCON 2017-2017 IEEE. :833–838.: IEEE Abstract
MadhuKumar, SD.  2016.  Current Research Directions on Big data Analytics-opening Keynote. ICIA-16: Proceedings of the International Conference on Informatics and Analytics. :pp:22-23., Pondicherry, India: Published by ACM , ICPS Abstract


Shabeera, TP, MadhuKumar SD, Sameera.  2017.  Curtailing Job Completion Time in MapReduce Clouds. Computers & Electrical Engineering, International Journal Elsevier. 58:190-201.
Shabeera, TP, MadhuKumar SD, Chandran P.  2016.  Curtailing job completion time in MapReduce clouds through improved Virtual Machine allocation. Elsevier- Computers & Electrical Engineering. :-. AbstractWebsite

Abstract Cloud-based MapReduce platforms offer ready to use MapReduce clusters. The problem of allocating Virtual Machines (VMs) carrying out the computation, for minimizing data transfer delay is a crucial one in this context, as the MapReduce tasks are communication intensive. The interaction between \{VMs\} may face varying delays, if the \{VMs\} are hosted in different Physical Machines (PMs). This work aims to optimize the data transfer delay between VMs, which is denoted by the distance between the VMs. We propose an approximation algorithm for \{VM\} allocation in data centers wherein the distances between \{VMs\} satisfy triangular inequality and an optimization algorithm for \{VM\} allocation in data centers where the distances between \{VMs\} do not satisfy triangular inequality. Simulations on CloudSim demonstrate the performance of our algorithms and the results affirm the reduction in job completion time compared to other allocation schemes.

MadhuKumar, SD, Bellur U.  2007.  A Distributed Algorithm for Underlay Aware and Available Overlay Formation in Event Broker Networks for Publish/Subscribe Systems. First International Workshop on Distributed Event Processing Systems and Applications (DEPSA 07) colocated with ICDCS. :69., Toronto, Canada: IEEE Abstract


RahulPrasad, K, Shabeera TP, MadhuKumar SD.  2014.  Dynamic Cluster Configuration Algorithm in MapReduce Cloud. International Journal of Computer Science and Information Technologies(ijcsit). 5 (3):4028-4033.
GaneshBabu, Shabeera TP, MadhuKumar SD.  2014.  Dynamic Colocation Algorithm For Hadoop, 27 September. International Conference on Advances in Computing, Communications and Informatics (ICACCI-2014). , Noida, New Delhi
VijuPoonthottam, MadhuKumar SD.  2013.  A Dynamic Data Placement Scheme for Hadoop Using Real-time Access Patterns, August 2013. International Conference on Advances in Computing, Communications and Informatics (ICACCI-2013). , Mysore India
MadhuKumar, SD, Bellur U.  2010.  An Efficient Approach for Incorporating Underlay Awareness in P2P Networks for Guaranteed Availabilities. International Journal on Communication Networks and Distributed Systems (IJCNDS), Inderscience. 4(2):133-160.
AnitaBrigit, M, MadhuKumar SD.  2014.  An Efficient Index Based Query Handling Model for Neo4j. IJCST. Vol. 3( no. 2):pp.12–18.