Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/98277
Title: An enhanced genetic algorithm for server placement in distributed interactive applications
Authors: Zheng, Hanying
Tang, Xueyan
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2012
Source: Zheng, H., & Tang, X. (2012). An Enhanced Genetic Algorithm for Server Placement in Distributed Interactive Applications. 2012 IEEE 18th International Conference on Parallel and Distributed Systems (ICPADS).
Abstract: Recent years have witnessed the enormous popularity of distributed interactive applications (DIAs), which allow participants that are distributed in the network to interact with each other concurrently. The rapid growth of DIAs has raised stringent requirements on providing realistic sense of interaction between participants, whose quality is heavily influenced by network latencies. Although network latencies cannot be eliminated due to geographical spreads of participants, it is possible to reduce them by a smart selection of the locations where the servers of the DIAs are placed. The locations of servers affect not only the inter-server latencies but also the latencies from participants to servers, both of which are involved in the interactions among participants. Thus, the placement of servers is an important factor to the interactivity performance of DIAs. We formulate the server placement problem, and propose to solve it by an enhanced genetic algorithm, whose genetic operators are specially designed based on the nature of the problem. Experimental results using various datasets show that our algorithm leads to appreciable improvement of the interaction quality in DIAs.
URI: https://hdl.handle.net/10356/98277
http://hdl.handle.net/10220/12390
DOI: http://dx.doi.org/10.1109/ICPADS.2012.86
Rights: © 2012 IEEE.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Conference Papers

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