Software-as-a-Service Composition in Cloud Computing Using Genetic Algorithm

被引:2
|
作者
Toh, Samuel Yu [1 ]
Tang, Maolin [1 ]
机构
[1] Queensland Univ Technol, Sch Elect Engn & Comp Sci, 2 George St, Brisbane, Qld 4001, Australia
关键词
SaaS; Cloud computing; Service composition; Genetic algorithm;
D O I
10.1007/978-3-030-04179-3_48
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Cloud computing is a new IT paradigm. Over the last few years, there has been a trend of increasing adoption of a new software delivery model called Software-as-a-Service (SaaS) in the new IT paradigm. While the availability of SaaS in cloud computing has yet created a challenge for the service-oriented computing community, we believe it is only a matter of time that SaaS will grow exponentially to a stage where manual SaaS composition becomes impossible. In order to better prepare ourselves for this challenge, this paper proposes a multi-tenant enabled SaaS composition framework for cloud computing. While there have already been studies involved in tackling service composition in cloud computing, most of them ignore a key feature that is specific to cloud computing, that is multi-tenancy. This paper proposes a SaaS composition framework that can be used to automatically build SaaS in cloud computing.
引用
收藏
页码:542 / 551
页数:10
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