Presentation 2015-10-02
[Invited Talk] Policy-Aware Service Composition
Mai Xuan Trang, Yohei Murakami, Toru Ishida,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Parallel execution and cloud technologies are the keys to speed-up service invocation when processing large-scale data. In SOA, service providers normally employ policies to limit parallel execution of the services based on arbitrary decisions. In order to attain optimal performance improvement, service users need to adapt to parallel execution policies of the services. A composite service is a combination of several atomic services provided by various providers. To use parallel execution for greater composite service efficiency we need to optimize the degree of parallelism (DOP) of the composite services by considering policies of all atomic services. We propose a model that embeds service policies into formulae to calculate composite service performance. From the calculation, we predict the optimal DOP for the composite service. Extensive experiments are conducted on real-world translation services. The results show that our proposed model has good prediction accuracy in identifying the optimal DOPs. Our model correctly predicts the optimal DOP in most cases.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Service composition / Service poicy / Parallel execution / Performance prediction / Degree of parallelism
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Conference Information
Committee SC
Conference Date 2015/10/2(1days)
Place (in Japanese) (See Japanese page)
Place (in English) NII
Topics (in Japanese) (See Japanese page)
Topics (in English) Cloud Computing and Service Design
Chair Shigeru Hosono(NEC)
Vice Chair Incheon Paik(Univ. of Aizu)
Secretary Incheon Paik(NICT)
Assistant

Paper Information
Registration To Technical Committee on Service Computing
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) [Invited Talk] Policy-Aware Service Composition
Sub Title (in English)
Keyword(1) Service composition
Keyword(2) Service poicy
Keyword(3) Parallel execution
Keyword(4) Performance prediction
Keyword(5) Degree of parallelism
1st Author's Name Mai Xuan Trang
1st Author's Affiliation Kyoto University(Kyoto Univ.)
2nd Author's Name Yohei Murakami
2nd Author's Affiliation Kyoto University(Kyoto Univ.)
3rd Author's Name Toru Ishida
3rd Author's Affiliation Kyoto University(Kyoto Univ.)
Date 2015-10-02
Paper #
Volume (vol) vol.115
Number (no) SC-236
Page pp.pp.-(),
#Pages
Date of Issue