Probabilistic Top-k dominating composite service selection

Chaogang Tang, Shiting Wen, Qing Li, Xiong Yan, An Liu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

3 Citations (Scopus)

Abstract

A few of works have recently focused on relieving service users of the role played in assigning numeric values to QoS criteria as required in traditional service selection scheme. Towards such goals, skyline services for example have been studied recently by a lot of researchers. However, the size of skyline services sometimes is not easily controlled due to intrinsic attributes of services. Besides, some QoS metrics, such as response time, reliability, and etc., usually suffer from network as well as Internet factors (e.g. network unavailability and Internet disconnection), which contributes to the fact that these QoS metrics may fluctuate during run time. Considering this kind of dynamics of QoS metrics, we in this paper propose to obtain probabilistic top-k dominating composite services with uncertain QoS. More important, the number of obtained services can be easily specified by service users, thus avoiding the case that the size of skyline services is sometimes out of control. The experimental results have investigated the feasibility and effectiveness of our approaches.

Original languageEnglish
Title of host publicationProceedings - 9th IEEE International Conference on E-Business Engineering, ICEBE 2012
Pages1-8
Number of pages8
DOIs
Publication statusPublished - 1 Dec 2012
Externally publishedYes
Event9th IEEE International Conference on E-Business Engineering, ICEBE 2012, Including, SOAIC 2012, EM2I 2012, SOKMBI 2012, ASOC 2012 - Hangzhou, China
Duration: 9 Sep 201211 Sep 2012

Publication series

NameProceedings - 9th IEEE International Conference on E-Business Engineering, ICEBE 2012

Conference

Conference9th IEEE International Conference on E-Business Engineering, ICEBE 2012, Including, SOAIC 2012, EM2I 2012, SOKMBI 2012, ASOC 2012
Country/TerritoryChina
CityHangzhou
Period9/09/1211/09/12

Keywords

  • dominating
  • dynamic
  • service selection
  • top-k

ASJC Scopus subject areas

  • Management of Technology and Innovation
  • Economics, Econometrics and Finance (miscellaneous)

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