Publications

Export 70 results:
Sort by: Author Title Type [ Year  (Desc)]
2018
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
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
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
2017
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
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
n/a
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
Shabeera, TP, MadhuKumar SD, Sameera.  2017.  Curtailing Job Completion Time in MapReduce Clouds. Computers & Electrical Engineering, International Journal Elsevier. 58:190-201.
Mathew, AB, MadhuKumar SD, Krishnan MK, Salam SM.  2017.  Efficient query retrieval in Neo4jHA using metaheuristic social data allocation scheme. Computers & Electrical Engineering. AbstractWebsite

n/a

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
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
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

n/a

Ojus, OTL, Akash AGJ, MadhuKumar SD, Priya PC.  2017.  A Method for Storage Node Allocation in Erasure Code Based Storage Systems. Collaboration and Internet Computing (CIC), 2017 IEEE 3rd International Conference on. :449–454.: IEEE Abstract

n/a

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

n/a

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
n/a
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
n/a
Chacko, A, MadhuKumar SD.  2017.  Big data provenance research directions. Region 10 Conference, TENCON 2017-2017 IEEE. :651–656.: IEEE Abstract
n/a
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
n/a
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
n/a
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
n/a
2016
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
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
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.  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

n/a

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.

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