期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2016
卷号：9
期号：4
页码：443-454
DOI：10.14257/ijsip.2016.9.4.39
出版社：SERSC
摘要：Cloud services is a typical trait of cloud computing. It allows tenants rent customizable services transparently, and guarantees substantial cost savings for the providers. With the significant number of cloud services, a key challenge when providing customizable cloud services is how to manage those services and find an optimized configuration service rapidly that maximizes tenants' preferences, subject to resource constraints. To help address this challenge, this paper introduces a novel approach to support the modeling and configuration of customizable cloud services. In particular, we propose a customizable service selecting and configuring optimization approach based on a heuristic approach, which can quickly derive an optimized valid service selection by evaluation different configurations that optimize tenants' preferences under resource limitations. The scalability and performance of the algorithms is investigated in detail. And the obtained experimental results demonstrate the feasibility of the proposed method.
