Policy-Aware Optimization of Parallel Execution of Composite Services

Mai Xuan Trang, Yohei Murakami, Toru Ishida

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルProceedings - 2015 IEEE International Conference on Services Computing, SCC 2015
編集者Wu Chou, Paul P. Maglio, Incheon Paik
出版社Institute of Electrical and Electronics Engineers Inc.
ページ106-113
ページ数8
ISBN(電子版)9781467372817
DOI
出版ステータスPublished - 2015 8 17
外部発表はい
イベントIEEE International Conference on Services Computing, SCC 2015 - New York, United States
継続期間: 2015 6 272015 7 2

出版物シリーズ

名前Proceedings - 2015 IEEE International Conference on Services Computing, SCC 2015

Conference

ConferenceIEEE International Conference on Services Computing, SCC 2015
CountryUnited States
CityNew York
Period15/6/2715/7/2

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications
  • Computer Science Applications

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