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AbdulNazeer, KA, MPSebastian, MadhuKumar SD.  2011.  A Heuristic K-Means Algorithm with Better Accuracy and Efficiency for Clustering Health Informatics Data. International Journal of Medical Imaging and Health Informatics, American Scientific Publishers. 1(1):66-71.
AbdulNazeer.K.A, MadhuKumar SD, Sebastian.M.P.  2011.  Enhancing the K-means Clustering Algorithm by Using a O(nlogn) Heuristic Method for Finding Better Initial Centroids. International Conference on Emerging Applications of Information Technology- EAIT 2011. , Calcutta, India: IEEE Computer Society
Akash, GJ, Ojus TL, MadhuKumar SD, ChandranPriya, Alfredo C.  2017.  RAPID: A Fast Data Update Protocol in Erasure Coded Storage Systems for Big Data, May 2017. 2nd IEEE/ACM International Workshop on Distributed Big Data Management (DBDM 2017), In conjunction with IEEE/ACM CCGRID2017. , Madrid, Spain
Amritapatole, MadhuKumar SD, Chandran P, Shabeera TP.  2015.  Load-Aware Replica Placement in Multiuser Hadoop Environment Using MST, 8, December. Third edition of the International Conference on Recent Advances in Computational Systems(IEEE RAICS -2015). , Trivandrum
Anita, BM, Priyabrat P, MadhuKumar SD.  2014.  Efficient Information Retrieval using Lucene, LIndex and HIndex in Hadoop, November 2014. 11th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA' 2014). , Doha
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
AnitaBrigit, M, MadhuKumar SD.  2014.  An Efficient Index Based Query Handling Model for Neo4j. IJCST. Vol. 3( no. 2):pp.12–18.
AnitaBrigit, M, MadhuKumar SD.  2015.  Novel Research Framework on SN’s NoSQL Databases for Efficient Query Processing. Inderscience International Journal of Reasoning-based Intelligent Systems. (Accepted)
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
Anu Mary Chacko, Anish Gupta, MS, MadhuKumar SD.  2017.  Improving execution speed of incremental runs of MapReduce using provenance. International Journal of Big Data Intelligence. 4:186-194. Abstract


AnuMary, C, MadhuKumar SD, Munavar F.  2016.  Provenance-Aware NoSQL Databases. International Symposium on Security in Computing and Communications (SSCC'16). , Jaipur: Springer
AnuMary, C, Anish G, Madhusudhan G, MadhuKumar SD.  2016.  Improving execution speed of Incremental runs of MapReduce using Provenance. (International Journal of Big Data Intelligence (IJBDI), InderScience (In Press).
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
Arun, KS, Govindan VK, Kumar MSD.  2017.  On integrating re-ranking and rank list fusion techniques for image retrieval, May. International Journal of Data Science and Analytics. : Springer AbstractWebsite
BabithaBalachandran, MadhuKumar SD.  2013.  Optimization Of Reconfiguration Time During Client Movement On Siena, August 2013. International Conference on Advances in Computing, Communications and Informatics (ICACCI-2013. , Mysore India
Badharudheen, P, MadhuKumar SD, Chacko AM.  2014.  Making an Application Provenance-Aware through UML - A General Scheme, March 2014. SNDS 2014. , Trivandrum, India
Binesh, J, MadhuKumar SD.  2015.  Telecom grade cloud computing: Challenges and opportunities, Feb 2015. IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES). , Calicut India
Binesh, J, MadhuKumar SD, Alfredo C.  2017.  Enhancing Contact Center Performance Using Cloud Computing: A Case Study on Telecom Contact Centers. Second International Conference on Internet of Things, Data and Cloud Computing ( ICC'17). , Cambridge University, United Kingdom: ACM
Chacko, A, MadhuKumar SD.  2017.  Big data provenance research directions. Region 10 Conference, TENCON 2017-2017 IEEE. :651–656.: IEEE Abstract
Chimakurthi, L, MadhuKumar SD, SureshChandraMoharana, Kalyankumar SMMM.  2011.  Power Efficient Resource Allocation for Clouds Using Ant Colony Framework , April 2011. International Conference on Advances in Computing and Communication ICACC-2011. , NIT Hamirpur, India
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
Gilesh, MP, MadhuKumar SD, Lillykutty J.  2017.  HyViDE: A Framework for Virtual Data Center Network Embedding. ACM SAC 2017 Track on Cloud Computing. , Marrakesh, Morocco: ACM
Gilesh, MP, Kumar MSD, Jacob L, Bellur U.  2017.  Towards a Complete Virtual Data Center Embedding Algorithm Using Hybrid Strategy. 37th {IEEE} International Conference on Distributed Computing Systems, {ICDCS} 2017, Atlanta, GA, USA, June 5-8, 2017. :2616–2617. Abstract
Gilesh, MP, Sanjay S, MadhuKumar SD, Lillykutty J.  2018.  Selecting Suitable Virtual Machine Migrations for Optimal Provisioning of Virtual Data Centers. ACM Applied Computing Review. 18(2):22-32.
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