International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume5,February 2018,

Topic : Behavioral model to obtain profit with guaranteed quality of service in cloud computing

Authors:Anjali C.Tak || S.R.Ghungrad

Abstract:As an effective and efficient way to provide our customers with IT resources and services, Cloud Computing is gaining in popularity. From a cloud provider perspective, profit is the most important consideration and is determined by configuring a cloud service platform based on market demand. However, a one-time leasing system is often used to configure the cloud platform, which cannot guarantee the quality of the service. However, it results in severe resource losses. In this article, the dual sourcing system is pre-designed by short-term rentals and long-term lease agreements are combined to target existing issues. This dual-leased system can effectively guarantee the quality of service provided by all applications and greatly reduce resource wastage. Second, the service system is considered to be a queuing model of M / M / m + D, and performance metrics that affect the benefits of our dual lease system, such as average load, requested ratio, temporary server requirements, and more. Third, the problem of maximizing profits is that the formula for the dual lease plan and the optimal configuration of the cloud platform are obtained by solving the problem. These maximize profit Finally, this is calculated to compare the benefits of our service plan with a one-time rental plan. Experimental results show that our system provides not only service quality for all applications but it also gets more profit than the latter system..

Keywords: Cloud computing, guaranteed quality of service, multi-server system, profit maximization, queuing model, service level agreement.

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DOI: 01.1617/vol5/iss2/pid74530


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Editor-in-Chief

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Dr. Allon Guez
Professor, Drexel University,
USA


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
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ACCEPTANCE RATIO: 28.69%
ARTICLES PUBLISHED:0521
PAPER RECEIVED:01730
Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
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