Publications

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Xu, J, Palanisamy B, Tang Y, Kumar MSD.  2017.  {PADS:} Privacy-Preserving Auction Design for Allocating Dynamically Priced Cloud Resources. 3rd {IEEE} International Conference on Collaboration and Internet Computing, {CIC} 2017, San Jose, CA, USA, October 15-17, 2017. :87–96. Abstract
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MadhuKumar, SD, Chandran P.  1996.  Windows Based Application Software Developer, July 1996. EDUCOMP' 96 Internatonal Conference on Educational Computing. :178-185., Chandigargh, India
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MadhuKumar, SD, Anju KS, Asha, Mary J, Indu J, Subha N, Reshma, Ann T.  2012.  Virtual Machine Placement Based on VM-PM Compatibility. The Mediterranean Journal of Computers and Networks . 8(2):35-40.Website
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MadhuKumar, SD, Bellur U.  2006.  An Underlay Aware, Adaptive Overlay for Event Broker Networks. In Proceedings of the Fifth International Workshop on Adaptive and Reflective Middleware (ARM 06) colocated with Middleware 06. , Melbourne: ACM
MadhuKumar, SD, Bellur U.  2009.  Underlay Aware Resiliency in P2P Overlays, 4 January 2009. The Tenth International Conference on Distributed Computing and Networking, ICDCN 09. , Hyderabad,India
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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
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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
MadhuKumar, SD, Shruti.PMahambre, Bellur U.  2007.  A Taxonomy of QoSAware, Adaptive Event-Dissemination Middleware. IEEE Internet Computing. 11(4):35-44.
Shruti.P.Mahambre, MadhuKumar SD, Bellur U.  2007.  A Taxonomy of QoS-Aware, Adaptive Event-Dissemination Middleware. IEEE Internet Computing. 11:35-44., Number 4 Abstract

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MadhuKumar, SD, BabithaBalachandran, SadulaSrikrishna.  2007.  A Survey Of Overlay Simulators. PCTE journal of Computer Sciences. 3(2):12-21.
MadhuKumar, SD, Manu.J.Pillai, Sebastian.M.P.  2010.  A survey of Basic MAC protocols for Mobile Ad Hoc Networks. A survey of Basic MAC protocols for Mobile Ad Hoc Networks. International Conference on Technological Trends (ICTT 2010). , Trivandrum,India
MadhuKumar, SD, Sarma VVS.  2000.  A Software Tool for Assessing Software Reuse Libraries. The Journal of the Computer Society of India. 30(4):1-8.
Manish Parashar, Umesh Bellur, S.D Madhu Kumar, Priya Chandran, Murali Krishnan, Kamesh Madduri, Sushil K. Prasad, C. Chandra Sekhar, Nanjangud C. Narendra, Carlos Valera, Sanjay Chaudhary, Kavi Arya, Xiaolin Li (Eds.).  2014.  Seventh International Conference on Contemporary Computing, {IC3} 2014, Noida, India, August 7-9, 2014. : {IEEE} Abstract
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MadhuKumar, SD, Veeresh.B.  2010.  Semantic Interoperability of Web Applications in Clouds using XML. nternational Journal of Information Processing. 4(4):54-62.
Kovilakath, VP, Kumar MSD.  2012.  Semantic broken link detection using structured tagging scheme. Proceedings of the International Conference on Advances in Computing, Communications and Informatics. :16–20., New York, NY, USA: ACM Abstract
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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.
MadhuKumar, SD, ShibleyJoseph.  2010.  Secure Content Based Publish/Subscribe System Using Prefix Preserving encryption. International Journal of Information Processing. 4(2):69-79.
MadhuKumar, SD, ShibleyJoseph.  2009.  Secure Content Based Publish/Subscribe System Using Prefix Preserving encryption. The Third International Conference on Information Processing, ICIP 09. :569-578., Bangalore,India
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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
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AnuMary, C, MadhuKumar SD, Munavar F.  2016.  Provenance-Aware NoSQL Databases. International Symposium on Security in Computing and Communications (SSCC'16). , Jaipur: Springer
Howlader, P, Pal KK, MadhuKumar SD, Cuzzocrea A.  2018.  Predicting Facebook-Users’ Personality based on Status and Linguistic Features via Flexible Regression Analysis Techniques, April 2018. ACM SAC 2018 Cognitive Computing Track. , Pau, France
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
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Shabeera, TP, MadhuKumar SD, Salam SM, Krishnan MK.  2016.  Optimizing VM allocation and data placement for data-intensive applications in cloud using ACO metaheuristic algorithm. Elsevier-Engineering Science and Technology, an International Journal. :-. AbstractWebsite

Abstract Nowadays data-intensive applications for processing big data are being hosted in the cloud. Since the cloud environment provides virtualized resources for computation, and data-intensive applications require communication between the computing nodes, the placement of Virtual Machines (VMs) and location of data affect the overall computation time. Majority of the research work reported in the current literature consider the selection of physical nodes for placing data and \{VMs\} as independent problems. This paper proposes an approach which considers \{VM\} placement and data placement hand in hand. The primary objective is to reduce cross network traffic and bandwidth usage, by placing required number of \{VMs\} and data in Physical Machines (PMs) which are physically closer. The \{VM\} and data placement problem (referred as MinDistVMDataPlacement problem) is defined in this paper and has been proved to be NP- Hard. This paper presents and evaluates a metaheuristic algorithm based on Ant Colony Optimization (ACO), which selects a set of adjacent \{PMs\} for placing data and VMs. Data is distributed in the physical storage devices of the selected PMs. According to the processing capacity of each PM, a set of \{VMs\} are placed on these \{PMs\} to process data stored in them. We use simulation to evaluate our algorithm. The results show that the proposed algorithm selects \{PMs\} in close proximity and the jobs executed in the \{VMs\} allocated by the proposed scheme outperforms other allocation schemes.

Shabeera, TP, MadhuKumar SD, Salam SM, Krishnan MK.  2017.  Optimizing VM allocation and data placement for data-intensive applications in cloud using ACO metaheuristic algorithm. Engineering Science and Technology, an International Journal. 20:616-628., Number 2 AbstractWebsite

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Shabeera, TP, MadhuKumar SD.  2015.  Optimizing Virtual Machine Allocation in MapReduce Cloud for improved Data Locality. Inderscience International Journal of Big Data Intelligence (IJBD). Vol.2 No.1(March 2015)