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Cluster research based on remote server contention states using K-Means over the internet

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3 Author(s)
Yu Song ; Sch. of Software, Central South Univ., Changsha ; Fan Xiaoping ; Liao Zhifang

In the environment of data integration over the Internet, the remote serverpsilas contention states take direct effect on the cost of a data query. So to determine the server contention states plays an import role to estimate the cost of query. This paper uses sample queries and k-means algorithm to determine the remote serverpsilas contention states, and get the response cost of the server, then develops a set of cost model for each server contention states by a multiple regression process, to estimate the cost in the system. This method can accurately predict the system contention state and estimate the cost of a query precisely, with the acceptable error which the maximum is 26 percent, the minimum is 7.4 percent, most are around 10 percent.

Published in:

Control Conference, 2008. CCC 2008. 27th Chinese

Date of Conference:

16-18 July 2008

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