Dynamic availability estimation for service selection based on status identification

Shao Lingshuang, Zhang Lu, Xie Tao, Zhao Junfeng, Xie Bing, Mei Hong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

With the popularity of Service-Oriented Computing, how to construct highly available service-oriented applications is becoming a hot topic in both the research and industry communities. As a fundamental problem in dynamic service selection, availability estimation is challenging because of the dynamic nature of web services. To grasp the dynamic nature of web services, we set up an experimental environment for collecting runtime information of web services. Based on the collected runtime information, we identify several characteristics of service failures and successes, and further define three typical service runtime statuses. Based on these statuses, we propose a novel approach to dynamic availability estimation, which is called Status Identification based Availability Estimation for Service Selection(SIBE). To evaluate our approach, we compare SIBE with other approaches in an experiment of dynamic service selection on the Internet. Experimental results show that SIBE can efficiently improve the success rate of selecting available services.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE International Conference on Web Services, ICWS 2008
Pages645-652
Number of pages8
DOIs
StatePublished - Dec 24 2008
Externally publishedYes
EventIEEE International Conference on Web Services, ICWS 2008 - Beijing, China
Duration: Sep 23 2008Sep 26 2008

Publication series

NameProceedings of the IEEE International Conference on Web Services, ICWS 2008

Other

OtherIEEE International Conference on Web Services, ICWS 2008
Country/TerritoryChina
CityBeijing
Period9/23/089/26/08

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Software
  • Electrical and Electronic Engineering

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