Publications

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Ojus Thomas, L, MadhuKumar SD, Chandran P.  2016.  Erasure Coded Storage Systems for Cloud Storage - Challenges and Opportunities, August. IEEE International Conference on Data Science and Engineering (ICDSE 2016). , Kochi
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
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
P, U, Govindan VK, MadhuKumar SD.  2019.  Enhanced sparse representation classifier for text classification. Expert Systems with Applications, Elsevier. 129:260-272.
Arun, KS, Govindan VK, MadhuKumar SD.  2019.  Enhanced bag of visual words representations for content based image retrieval: a comparative study. Artificial Intelligence Review, Springer.
Jaisooraj, J, MadhuKumar SD.  2022.  Energy-efficient routing in low power and lossy networks with concurrent overlapping RPL instances. Transactions on Emerging Telecommunications. Technologies, Wiley. (https://doi.org/10.1002/ett.4590)
Jaffar, J, Jaisooraj, MadhuKumar SD.  2020.  Efficient Routing for Low Power Lossy Networks with Multiple Concurrent RPL Instances. International Conference on Paradigms of Computing, Communication and Data Sciences (PCCDS-2020). , NIT Kurukshetra: Springer
Mathew, AB, MadhuKumar SD, Krishnan MK, Salam SM.  2017.  Efficient query retrieval in Neo4jHA using metaheuristic social data allocation scheme. Computers & Electrical Engineering. AbstractWebsite

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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.  2014.  An Efficient Index Based Query Handling Model for Neo4j. IJCST. Vol. 3( no. 2):pp.12–18.
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.
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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
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
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.
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

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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.

Shabeera, TP, MadhuKumar SD, Sameera.  2017.  Curtailing Job Completion Time in MapReduce Clouds. Computers & Electrical Engineering, International Journal Elsevier. 58:190-201.
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

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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
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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.
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
Jose, X, MadhuKumar SD, Chandran P.  2021.  Characterization, Classification and Detection of Fake News in Online Social Media Networks. 2021 IEEE Mysore Sub Section International Conference (MysuruCon). :759-765., Mysore Abstract

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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
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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
Jose, B, T RR, MadhuKumar SD.  2019.  A BOCR decision model for telecom cloud strategy election. International Journal of Innovative Technology and Exploring Engineering. 8(6):1788-1796.