NDLI: Autonomic Ranking and Selection of Web Services by Using Single Value Decomposition Technique

Content Provider	IEEE Xplore Digital Library
Author	Hoi Chan Tieu Chieu Kwok, T.
Copyright Year	2008
Description	Author affiliation: Thomas J. Watson Res. Center, IBM, Hawthorne, NY (Hoi Chan; Tieu Chieu; Kwok, T.)
Abstract	With the proliferation of Web services as a business solution to enterprise application integration, ranking and selecting the best Web services among the providers become an important factor in the success of the business solution. Quality of service (QoS) determines the quality and usability of a service including its price, performance, reliability, integrity, accessibility, availability, interoperability, and security. Given a set of QoS attributes from a variety of sources, it is a challenge to sort through all of them and be able to get the best services that meet QoS requirement. In this paper, we describe a novel method by which Web services can be ranked and selected automatically based on a number of observed QoS parameters and feedback responses learned from prior knowledge. This new approach treats the observed Web services QoS attributes and target Web services relationship, represented by a matrix, as a statistical problem. Using singular value decomposition (SVD) technique, and an user assisted weighting system, implicit higher order correlations among Web services and their associated QoS attributes are extracted and used to estimate the selection of recommended Web services.
Starting Page	661
Ending Page	666
File Size	165341
Page Count	6
File Format	PDF
ISBN	9780769533100
DOI	10.1109/ICWS.2008.124
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-09-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Web services Quality of service Availability Security Singular value decomposition Usability Feedback Matrix decomposition Adaptive systems Statistical analysis autonomic Web Services data centers problem determination
Content Type	Text
Resource Type	Article

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