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Improvement in Resource Optimization of Composite SaaS using Genetic Algorithm


Sejal Sirsikar , Government Engineering College Modasa Gujarat; Hiren R. Patel, Government Engineering College Modasa Gujarat


Resource Optimization, Genetic Algorithm, Composite SaaS, Cloud Computing


Nowadays, Software as a Service (SaaS) is gaining more attention from Software users and providers which is challenging to SaaS Providers for providing better SaaS. For betterment of users, SaaS providers offers SaaS with flexible functions at a lower cost in which SaaS providers focuses on decomposition of SaaS functionalities. That is called the Composite SaaS. In this, we need to determine that how resource optimization performed so that all the virtual machines having their resources. For that we proposed a model which uses the concept of Genetic Algorithm. This paper shows that how resource optimization done using Genetic Algorithm.

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Published in: Conference 10 : NCACSET 2017
Publication Date: 06/05/2017
Page(s): 8-10

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