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Paper Title: Behavioral model to obtain profit with guaranteed quality of service in cloud computing.
Authors Name: Anjali C.Tak , S.R.Ghungrad
Unique Id: IJSDR1712002
Published In: Volume 2 Issue 12, December-2017
Abstract: As an efficient and effective way to provide IT resources and services to customers on demand, cloud computing has become increasingly popular. From the point of view of cloud service providers, profit is one of the most important considerations and is primarily determined by the configuration of a cloud service platform under market demand. However, a single long-term leasing system is usually adopted to configure a cloud platform, which cannot guarantee service quality but results in severe resource losses. In this article, a dual resource rental system is designed first of all in which short-term leasing and long-term leasing are combined by targeting existing issues. This dual rental system can effectively guarantee the quality of service of all applications and significantly reduce waste of resources. Second, a service system is considered as a model of M / M / m + D queuing and the performance indicators that affect the benefit of our dual rental system are analyzed, for example, the average load, the ratio of Requests that need temporary servers and so on. Third, a profit maximization problem is formulated for the double lease scheme and the optimized configuration of a cloud platform is obtained by solving the profit maximization problem. Finally, a series of calculations are made to compare the benefit of our plan plan to the one-time rent plan. The results show that our system can not only guarantee the quality of service of all applications, but also obtain more profit than the latter.
Keywords: Cloud computing, guaranteed quality of service, multi-server system, profit maximization, queuing model, service level agreement.
Cite Article: "Behavioral model to obtain profit with guaranteed quality of service in cloud computing.", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 12, page no.9 - 13, December-2017, Available :http://www.ijsdr.org/papers/IJSDR1712002.pdf
Downloads: 000223232
Publication Details: Published Paper ID: IJSDR1712002
Registration ID:170856
Published In: Volume 2 Issue 12, December-2017
DOI (Digital Object Identifier):
Page No: 9 - 13
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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