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international journal of computer techniques(ijct)

Paper Title : A multi objective Genetic Algorithm for cloud service reservation

ISSN : 2394-2231
Year of Publication : 2022

10.29126/23942231/IJCT-v9i1p3
Authors: Mr. Monilal S

MLA Style: A multi objective Genetic Algorithm for cloud service reservation " Mr. Monilal S " Volume 9 - Issue 1 International Journal of Computer Techniques (IJCT) ,ISSN:2394-2231 , www.ijctjournal.org

APA Style: A multi objective Genetic Algorithm for cloud service reservation " Mr. Monilal S " Volume 9 - Issue 1 International Journal of Computer Techniques (IJCT) ,ISSN:2394-2231 , www.ijctjournal.org

Abstract
Cloud is one of the emerging technology in computer industry. Several companies migrates to this technology due to reduction in maintenance cost . Several organization provides cloud service such as SaaS, IaaS, PaaS. Different organization provides same service with different service charges and waiting time. So customers can select services from these cloud providers according to their criteria like cost and waiting time. By using ‘demand pricing’ strategy, providers can provide services with minimum cost without loosing any income or valuable resource time. But the existing system doesnot provide any automated job scheduling considering consumer cost, provider benefit , consumer waiting and provider idle time. This paper propose a multi objective genetic algorithm for solving this multivariable optimization problem. This system provides a new cloud brokering mechanism with cloud service discovery using this optimization technique. This paper consider IaaS. In this system user submit a job to cloud. Cloud provides infrastructure to run this job and gave output to user. Here aim of user is to obtain output with minimum time and minimum cost. At the same time aim of provider is to increase the income. For that provide run more job with in unit time. So We have to minimize consumer cost, consumer waiting time and provider idle time , and maximize provider benefit .

Reference
Ze Li, Student Member, IEEE, and Haiying Shen, Member, IEEE.” A QoS-Oriented Distributed Routing Protocol for Hybrid Wireless Networks”. IEEE transactions on mobile computing, vol. 13, no. 3, March 2014

Keywords
— Cloud, Adhoc Genetic algorithm, Iaas.

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