Work place: Dept. of Computer Science & Information Technology, Sam Higginbottom Institute Of Agriculture, Technology & Sciences- Deemed University, Allahabad, India
E-mail: gurmitsingh3@rediffmail.com
Website:
Research Interests: Computer systems and computational processes, Evolutionary Computation, Network Architecture, Data Structures and Algorithms
Biography
Prof. Gurmit Singh: is Emeritus Professor of Computer Science in Dept. of Computer Science & Information Technology at Sam Higginbottom Institute Of Agriculture, Technology & Sciences” (Formerly Allahabad Agricultural Institute), (Deemed-to-be-University) Allahabad. He served the department as professor and Head for several years and retired in year 2012. He was also served the University as Dean, Shepherd School of Engineering & Technology and is on the program committees of the University. He is the author/co-author of several publications in technical journals and conferences. His research interest includes distributed system and mobile ad-hoc network, wireless sensor network and evolutionary computing.
By Sanjay Kumar Yadav Gurmit Singh Divakar Singh Yadav
DOI: https://doi.org/10.5815/ijmecs.2013.12.07, Pub. Date: 8 Dec. 2013
Recently, (PDDRA) a Pre-fetching based dynamic data replication algorithm has been published. In our previous work, modifications to the algorithm have been suggested to minimize the delay in data replication. In this paper a mathematical framework is presented to evaluate mean waiting time before data can be replicated on the requested site. The idea is further investigated and simulation results are presented to estimate the throughput and average delay.
[...] Read more.By Sanjay Kumar Yadav Gurmit Singh Divakar Singh Yadav
DOI: https://doi.org/10.5815/ijmecs.2013.09.01, Pub. Date: 8 Sep. 2013
In this paper, the detailed overview of the database replication is presented. Thereafter, PDDRA (Pre-fetching based dynamic data replication algorithm) algorithm as recently published is detailed. In this algorithm, further, modifications are suggested to minimize the delay in data replication. Finally a mathematical framework is presented to evaluate mean waiting time before a data can be replicated on the requested site.
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