Title page for etd-0222115-195730


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URN etd-0222115-195730
Author Chien-Ching Hsu
Author's Email Address No Public.
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Department Information Management
Year 2014
Semester 2
Degree Master
Type of Document
Language English
Title The Research on Service Selection for Web Services with Probabilistic QoS
Date of Defense 2013-07-17
Page Count 66
Keyword
  • web-based services
  • quality analysis and evaluation
  • service selection
  • service recommendation
  • workflow
  • Abstract Web services can be described from two perspectives, functional and non-functional descriptions. Due to the large number of Web services available on the Internet, it is possible to have several services that possess the same function. However services with equivalent functions may have different values for their non-functional attributes. It is often crucial to select a service for each task in workflow so as to achieve the desired quality. Most of the former works in Web service selection treat the QoS (Quality of service) values as constants. However, the value of QoS varies in different execution environments. In this work, we address the service selection problem, where the QoS value of service is described as probability distribution. The goal is to select a set of services that collectively have the high chance of satisfying constraints and the incurred execution time overhead is reasonable. Our proposed algorithm starts with an initial composition, which is later adjusted by a readjust algorithm that combines tabu list and simulated annealing. We conduct some experiments and the results show that our approach generally performs better than previous works, such as the integer programming method and the penalty method proposed by Schuller et al. (Schuller, Lampe, Eckert, Steinmetz, & Schulte, 2012).
    Advisory Committee
  • Chih-Ping Wei - chair
  • Shang-Pin Ma - co-chair
  • San-Yia Hwang - advisor
  • Files
  • etd-0222115-195730.pdf
  • Indicate in-campus at 5 year and off-campus access at 5 year.
    Date of Submission 2015-03-27

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