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Information Systems Frontiers

Erschienen in:

01.03.2014

Multi-user web service selection based on multi-QoS prediction

verfasst von: Shangguang Wang, Ching-Hsien Hsu, Zhongjun Liang, Qibo Sun, Fangchun Yang

Erschienen in: Information Systems Frontiers | Ausgabe 1/2014

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Abstract

In order to find best services to meet multi-user’s QoS requirements, some multi-user Web service selection schemes were proposed. However, the unavoidable challenges in these schemes are the efficiency and effect. Most existing schemes are proposed for the single request condition without considering the overload of Web services, which cannot be directly used in this problem. Furthermore, existing methods assumed the QoS information for users are all known and accurate, and in real case, there are always many missing QoS values in history records, which increase the difficulty of the selection. In this paper, we propose a new framework for multi-user Web service selection problem. This framework first predicts the missing multi-QoS values according to the historical QoS experience from users, and then selects the global optimal solution for multi-user by our fast match approach. Comprehensive empirical studies demonstrate the utility of the proposed method.

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Titel: Multi-user web service selection based on multi-QoS prediction
verfasst von: Shangguang Wang
Ching-Hsien Hsu
Zhongjun Liang
Qibo Sun
Fangchun Yang
Publikationsdatum: 01.03.2014
Verlag: Springer US
Erschienen in: Information Systems Frontiers / Ausgabe 1/2014
Print ISSN: 1387-3326
Elektronische ISSN: 1572-9419
DOI: https://doi.org/10.1007/s10796-013-9455-4

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