WS-Sky:一个高效灵活的qos感知Web服务选择框架

Karim Benouaret, D. Benslimane, A. Hadjali
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引用次数: 26

摘要

随着面向服务计算(SOC)的发展,越来越多功能相似的Web服务被部署在Web上。因此,服务质量(QoS)方面(例如,可用性、响应时间等)对于在功能相似的Web服务中进行选择至关重要。此外,天际线被认为是选择基于QoS的Web服务的一个重要概念。本文提出了基于QoS的Web服务选择框架WS-Sky。我们的框架利用天际线概念的两种变体来有效地选择更适合用户需求的Web服务。我们对真实数据集和合成数据集的实验评估表明,WS-Sky帮助用户以灵活的方式找到最相关的Web服务,并允许用户控制检索到的Web服务的大小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
WS-Sky: An Efficient and Flexible Framework for QoS-Aware Web Service Selection
With the development of Service oriented Computing (SOC), more and more functionally similar Web services are deployed over the Web. Quality of service (QoS) aspects (e.g., availability, response time, etc.) are thus crucial for selecting among functionally similar Web services. Moreover, the skyline has been considered as an important concept for selecting Web service based on QoS. In this paper, we propose WS-Sky, a Web service selection framework based on QoS. Our framework leverages two variants of the notion of skyline to effectively and efficiently select Web services that better fit the user needs. Our experimental evaluation on both real-world and synthetic datasets demonstrates that WS-Sky assists users to find the most relevant Web services in a flexible way, and allows users to control the size of the retrieved Web services.
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