Publications

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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.
Shabeera, TP, MadhuKumar SD.  2017.  A HEURISTIC BASED ALGORITHM FOR DISTANCE-AWARE VIRTUAL MACHINE ALLOCATION IN CLOUD, March 2017. Second International Conference on Internet of Things, Data and Cloud Computing ( ICC'17). , Cambridge University, United Kingdom:ACM
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Shilpa, P, MadhuKumar SD.  2015.  Feature Oriented Sentiment Analysis in Social Networking Sites to Track Malicious Campaigners, 8, December. Third edition of the International Conference on Recent Advances in Computational Systems ( IEEE RAICS-2015). , Trivandrum
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Pillai, S, T RR, MadhuKumar SD.  2019.  An experiment to improve expert judgment software estimation through work breakdown structure. International Journal of Innovative Technology and Exploring Engineering. 8(7):1914-1920.
MadhuKumar, SD, Lisha.P.P.  2009.  Event Modeling for Content Based Publish/Subscribe Systems. International Conference on Advances in Recent Technologies in Communication and Computing, ARTCom 09. :855-859., Kottayam, India: IEEE Computer Society
Shiven, S, Sachin S, Gilesh MP, MadhuKumar SD.  2016.  Evaluation of Performance Characteristics and Limitations of FlowVisor. International Conference in Information Science(ICIS -2016). , Kochi
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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K, AH, Kumar SDM.  2023.  Deep Learning Techniques for Malware Detection: A Comprehensive Survey”. IEEE IC2E3. , NIT Utharakhand
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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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