DocumentCode :
2375356
Title :
QoS-Based Web Services Selection
Author :
Hongbing Wang ; Ping Tong ; Thompson, Paul
Author_Institution :
Southeast Univ., Nanjing
fYear :
2007
fDate :
24-26 Oct. 2007
Firstpage :
631
Lastpage :
637
Abstract :
Nowadays, composing previous available Web services into incremental Web services with more powerful functions has become a new hotspot. To select Web services during the process of composing them is a chief task, so it becomes crucial to select services providing the same or similar functionality by their non-functional attributes namely Quality of Service (QoS). In order to solve this problem, this paper proposes to combine the same or similar functional services into classes of service. It designs the QoS- globally optimal model, which is respectively solved by using "simulated annealing" and "genetic " algorithms, the two algorithms , compared by experiment.
Keywords :
Web services; genetic algorithms; quality of service; simulated annealing; genetic algorithms; globally optimal model; quality of service; simulated annealing; web services selection; Computer science; Delay; Documentation; Genetic algorithms; Knowledge engineering; Power engineering and energy; Quality management; Quality of service; Throughput; Web services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
e-Business Engineering, 2007. ICEBE 2007. IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-0-7695-3003-1
Type :
conf
DOI :
10.1109/ICEBE.2007.109
Filename :
4402160
Link To Document :
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