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Systematic Approach for QoS Estimation of Web Services

Published: 02 December 2013 Publication History

Abstract

Quality of Service (QoS) assessment and prediction are an important issue in the development of distributed applications. The provision of web services with the same functionality gives rise to a need for implementation of more precise web service selection procedures. The paper introduces a new approach for web service selection that takes into account the web services' varying behavior defined by their constantly changing QoS properties as well as the ambiguous clients' QoS requirements. These uncertainties are formalized using respectively the probability theory and the theory of fuzzy sets. The feasibility of the approach is proved through a real scenario for web service selection.

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Cited By

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  • (2016)Qualitative and Quantitative Review of QOS based Web Services Selection and Composition TechniquesProceedings of the International Conference on Informatics and Analytics10.1145/2980258.2980432(1-12)Online publication date: 25-Aug-2016
  • (2014)RecSSProceedings of the 15th International Conference on Computer Systems and Technologies10.1145/2659532.2659632(256-263)Online publication date: 27-Jun-2014

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cover image ACM Other conferences
IIWAS '13: Proceedings of International Conference on Information Integration and Web-based Applications & Services
December 2013
753 pages
ISBN:9781450321136
DOI:10.1145/2539150
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • @WAS: International Organization of Information Integration and Web-based Applications and Services

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Association for Computing Machinery

New York, NY, United States

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Published: 02 December 2013

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Author Tags

  1. Probability theory
  2. Quality of service
  3. Theory of fuzzy sets
  4. Web service selection

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Cited By

View all
  • (2016)Qualitative and Quantitative Review of QOS based Web Services Selection and Composition TechniquesProceedings of the International Conference on Informatics and Analytics10.1145/2980258.2980432(1-12)Online publication date: 25-Aug-2016
  • (2014)RecSSProceedings of the 15th International Conference on Computer Systems and Technologies10.1145/2659532.2659632(256-263)Online publication date: 27-Jun-2014

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