NDLI: A QoS-Aware Service Optimization Method Based on History Records and Clustering

Content Provider	IEEE Xplore Digital Library
Author	Meng Shunmei Liu Zhenxing Dou Wanchun
Copyright Year	2012
Abstract	The number of alternative Web services that provide the same functionality but differ in non-functional characteristics, i.e., Quality of Service (QoS) parameters is more and more larger, and the service providers could not always deliver their """"promised"""" quality. In view of this challenge, we propose a QoS-aware service optimization method based on history records and clustering, named QHRC. In this method, we take advantage of the history records of services' past performance quality rather than using the tentative QoS values provided by the service providers. And an adaptive hierarchical fuzzy clustering algorithm named H2D-SC algorithm is adopted to cluster the QoS history records for each Web service, then using the centroids of the sub clusters to generate QoS history-record based composition plans. Our method aims at ranking the service composition plans by the corresponding QoS history-record based composition plans to select a most qualified service composition plan. At last, we assess the efficiency of the proposed method with an example and experiments.
Starting Page	89
Ending Page	96
File Size	579245
Page Count	8
File Format	PDF
ISBN	9781467330275
DOI	10.1109/CGC.2012.66
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-01
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless sensor networks Web services QoS Clustering algorithms Optimization methods Quality of service History record Service composition Partitioning algorithms History Clustering H2D-SC
Content Type	Text
Resource Type	Article

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