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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40351

Title: QoS-Aware Query Relaxation for Service Discovery with Business Rules.
Authors: Shang-Pin Ma;Kuan Y. Chang;Jing-Hong Lin;Chih-Chun Ma;Jui-Hsaing Lin
Contributors: 國立臺灣海洋大學:資訊工程學系
Date: 2016
Issue Date: 2017-01-17T08:02:12Z
Publisher: Future Generation Computer Systems
Abstract: Abstract: Service discovery, the process of locating web services capable of satisfying the requirements of service requesters, plays a crucial role in the development of user-centric, service-oriented applications; however, most current service discovery mechanisms do not focus on integrating various business-driven quality of service (QoS) attributes or establishing relaxation mechanisms to enhance search results. This research proposes a systematic approach, referred to as business-rule-based service discovery (BRSD), to address the above issues. The main features of the proposed approach are as follows: (1) a business rule annotation mechanism that includes condition rules, enumeration rules, and applied utility references; (2) the ability to eliminate unsuitable services through the application of filters to deal with kernel properties, provider constraints, and user constraints; (3) the calculation of service ranking scores for single services or service sets according to QoS constraints and QoS importance ranking; and (4) the ability to retrieve suitable single services as well as service sets using the proposed two-point and incremental service query relaxation mechanisms.
Relation: 1(2)
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40351
Appears in Collections:[資訊工程學系] 期刊論文

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