DocumentCode :
483324
Title :
A Service Selection Method of Non-critical Task in Parallel Structure
Author :
Zhu Hong-ning ; Zhang Bin ; Gao Xian-wen
Author_Institution :
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang
fYear :
2009
fDate :
23-25 Jan. 2009
Firstpage :
846
Lastpage :
850
Abstract :
Aiming at the neglected selection for non-critical task in parallel structure, this paper provides a method of services selection based on grey relational analysis. It regards the execution time of critical task as the upper limit for the execution time of non-critical task, uses the execution time of non-critical task as the reference series, and takes other QoS criteria as compared series. And the grey relational grades represent the relational degree between the QoS criteria and the execution time; the grey relational grades are reduced to the QoS criteriapsilas weights, then evaluating the weighted sum of criteria in order to choose the optimized candidate Web QoS service of parallel structure. Though the selection sacrifices the execution time of non-critical task, it has no influence on the execution time of parallel structure, and improves other QoS criteria simultaneously. The instance analysis shows that the method is a composite service QoS optimization technique which does not affect the execution time of composite services and obtains the better service quality at the cost of sacrificing the execution time of non-critical task.
Keywords :
data mining; quality of service; Web QoS service; composite services; grey relational analysis; noncritical task; parallel structure; service selection method; Arithmetic; Constraint optimization; Cost function; Data engineering; Information analysis; Information science; Knowledge engineering; Optimization methods; Quality of service; Web services; QoS optimization; grey relational analysis; non-critical task; parallel structure; service selection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge Discovery and Data Mining, 2009. WKDD 2009. Second International Workshop on
Conference_Location :
Moscow
Print_ISBN :
978-0-7695-3543-2
Type :
conf
DOI :
10.1109/WKDD.2009.208
Filename :
4772067
Link To Document :
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