Publications

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2019
Lee, OT, Sharma V, Kumar MSD, Chandran P.  2019.  Modelling multi level consistency in erasure code based storage systems. Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing. :122–129. Abstract
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Lee, OT, Akash GJ, MadhuKumar SD, Chandran P.  2019.  Storage node allocation methods for erasure code-based cloud storage systems. Arabian Journal for Science and Engineering. 44:9127–9142., Number 11: Springer Berlin Heidelberg Berlin/Heidelberg Abstract
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2018
Lee, OT, Porwal R, MadhuKumar SD, Chandran P.  2018.  ECSim-2: A Performance Evaluator for Erasure Code based Storage Systems. 2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC). :496–501.: IEEE Abstract
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Lee, OT, Pratima HV, MadhuKumar SD, Chandran P.  2018.  Improved Epoch Expiry and Load Handling Mechanism for RAPID-The Fast Data Update Protocol in Erasure Coded Storage Systems. 2018 International Conference on Data Science and Engineering (ICDSE). :1–6.: IEEE Abstract
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2017
Akash, GJ, Lee OT, MadhuKumar SD, Chandran P, Cuzzocrea A.  2017.  Rapid: A fast data update protocol in erasure coded storage systems for big data. 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID). :890–897.: IEEE Abstract
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2016
Lee, OT, MadhuKumar SD, Chandran P.  2016.  ECSim: A simulation tool for performance evaluation of erasure coded storage systems. Advances in Computing, Communications and Informatics (ICACCI), 2016 International Conference on. :2713–2718.: IEEE Abstract

Simulation environments provide a comprehensive set of advantages to users, like cost effectiveness and capability to understand the shortcomings of the system under design, without physical implementation. Simulation platforms help the industry and academia, to document and publish their research outputs in a timely and cost efficient manner. The ECSim tool presented here, is meant for academic use in the initial stages of research. The platform provides an environment where the performance of erasure coded storage systems can be tested without much effort. The main highlight of the simulator is that it provides a very simple environment which can run on a standalone system. The environment does not require the user to be a programmer, since it provides an interactive command line interface to the user. The ability to simulate data center, clusters, master nodes, storage nodes with computing power, storage devices, bandwidth usage and disk I/O involved are notable features of ECSim.

Lee, OT, MadhuKumar SD, Chandran P.  2016.  Ecsim: A simulation tool for performance evaluation of erasure coded storage systems. 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI). :2713–2718.: IEEE Abstract
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Lee, OT, MadhuKumar SD, Chandran P.  2016.  Erasure coded storage systems for cloud storage—challenges and opportunities. 2016 International Conference on Data Science and Engineering (ICDSE). :1–7.: IEEE Abstract
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2014
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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