Maximize Profit with Satisfaction of Customer in Cloud Computing Via Optimal Multiserver Configuration

Authors(2) :-Manasa H M, Dr. K. Thippeswamy

Now a day's cloud computing is an emerging technology of business computing. An understanding the economics of cloud computing becomes critically important. To maximize the profit for cloud service provider, how to configure their cloud service platform under given market demand. A service provider must understand both quality of service charges and business price. Nevertheless, few existing works single resource-renting scheme cannot guarantee. Service Providers set the higher cost because they want to a more profit. So in these decreases the customer satisfaction. Solve these problems, in this paper establish the configuration of multiserver system, double quality resource guarantee renting scheme, its increase the customer satisfaction and maximize profit for service providers. Finally, taking the service-level agreement (SLA), a low quality of service, the price of energy consumption and service provider’s profit. A using M/M/m Queuing model is tasks are important role for profit maximizations in cloud computing.

Authors and Affiliations

Manasa H M
M.Tech in CS&E, VTU PG Centre, Mysuru, Karnataka, India
Dr. K. Thippeswamy
Professor and Chairman, DoS in CS&E, VTU PG Centre, Mysuru, Karnataka, India

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Publication Details

Published in : Volume 4 | Issue 6 | May-June 2018
Date of Publication : 2018-05-08
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 04-07
Manuscript Number : CSEIT184602
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Manasa H M, Dr. K. Thippeswamy, "Maximize Profit with Satisfaction of Customer in Cloud Computing Via Optimal Multiserver Configuration", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 6, pp.04-07, May-June-2018.
Journal URL : http://ijsrcseit.com/CSEIT184602

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