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Research Article · Free to read · Published 31 December 2009

Server Optimization Using Heuristic Algorithms for Dynamic-Split-and-Merge Scheme in Wireless Multicast

R. Sukumar & V. Vasudevan

Journal of Computer Science, Volume 5, Issue 12, pp. 956–961 · doi.org/10.3844/jcssp.2009.956.961

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Abstract

Problem statement: In order to minimize the overall network traffic in a multiserver system, the number of users served by each server (and hence the group size) should remain constant. As the underlying traffic fluctuates, a split and merge scheme is implemented in a physical server to achieve load balancing. Approach: Minimizing the number of servers during the merge operation is NP hard and to achieve these two algorithms namely FFD bin packing algorithm and LL algorithm were proposed to find the near optimal values of destination servers. Results: The performance of these algorithms were analyzed and compared based on several parameters. Conclusion: Results showed that LL algorithm outperforms FFD algorithm.

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Sukumar, R. & Vasudevan, V. (2009). Server Optimization Using Heuristic Algorithms for Dynamic-Split-and-Merge Scheme in Wireless Multicast. Journal of Computer Science, 5(12), 956–961. https://doi.org/10.3844/jcssp.2009.956.961

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Server Optimization Using Heuristic Algorithms for Dynamic-Split-and-Merge Scheme in Wireless MulticastJournal of Computer Science · Volume 5, Issue 12 · pp. 956–961 · © Science PublicationsDownload