DocumentCode :
598487
Title :
Building an Optimal Service Environment for ASBS Based on Pareto Dominance
Author :
Hang Song ; Jun Na ; Bin Zhang ; Jun Guo ; Zhi-Liang Zhu
Author_Institution :
Software Coll., Northeastern Univ., Shenyang, China
fYear :
2012
fDate :
9-11 Sept. 2012
Firstpage :
95
Lastpage :
102
Abstract :
Self-adaptation is a salient feature to make an adaptive service-based software system (ASBS) able to guarantee high dependability as well as deliver high quality of service (QoS) in its dynamic operating environment. It is usually realized by reselecting and rebinding services at runtime, and will increase the overhead of an ASBS if it happens frequently. Being aware of the expensive computing cost of optimal service selection involved in self-adaptation, this paper propose a Pareto dominance based approach to build a sharable optimal service environment for all executing system instances, which could provide optimal services by precomputation triggered by underlying candidate service changes continuously. Experimental results demonstrate that this approach can make effective overhead reduction in providing dependable and high quality services.
Keywords :
Pareto analysis; quality of service; service-oriented architecture; ASBS; Pareto dominance; adaptive service based software system; precomputation; quality of service; self adaptation; sharable optimal service environment; Adaptation models; Pareto optimization; Quality of service; Runtime; Scattering; Software systems; Pareto dominance; adaptvie service-based software system; optimal service environment; self-adpatation; service pre-selection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
e-Business Engineering (ICEBE), 2012 IEEE Ninth International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-2601-8
Type :
conf
DOI :
10.1109/ICEBE.2012.24
Filename :
6468223
Link To Document :
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