Behavioral model to obtain profit with guaranteed quality of service in cloud computing.
Anjali C.Tak
, S.R.Ghungrad
Cloud computing, guaranteed quality of service, multi-server system, profit maximization, queuing model, service level agreement.
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.
"Behavioral model to obtain profit with guaranteed quality of service in cloud computing.", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.2, Issue 12, page no.9 - 13, December-2017, Available :https://ijsdr.org/papers/IJSDR1712002.pdf
Volume 2
Issue 12,
December-2017
Pages : 9 - 13
Paper Reg. ID: IJSDR_170856
Published Paper Id: IJSDR1712002
Downloads: 000347037
Research Area: Engineering
Country: Aurangabad, Maharashtra, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
