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Reseach Article

A Profit Maximization Scheme with Ensuring Quality of Service for Customer Satisfaction in Cloud Computing

Published on May 2016 by Tejas Nitore, Vishal Rale, Shubham Ingale, Prathamesh Maravade, Supriya Bhosale
National Conference on Advancements in Computer & Information Technology
Foundation of Computer Science USA
NCACIT2016 - Number 7
May 2016
Authors: Tejas Nitore, Vishal Rale, Shubham Ingale, Prathamesh Maravade, Supriya Bhosale
c69405e1-ce30-4bff-8d08-77a9cda2e65b

Tejas Nitore, Vishal Rale, Shubham Ingale, Prathamesh Maravade, Supriya Bhosale . A Profit Maximization Scheme with Ensuring Quality of Service for Customer Satisfaction in Cloud Computing. National Conference on Advancements in Computer & Information Technology. NCACIT2016, 7 (May 2016), 25-27.

@article{
author = { Tejas Nitore, Vishal Rale, Shubham Ingale, Prathamesh Maravade, Supriya Bhosale },
title = { A Profit Maximization Scheme with Ensuring Quality of Service for Customer Satisfaction in Cloud Computing },
journal = { National Conference on Advancements in Computer & Information Technology },
issue_date = { May 2016 },
volume = { NCACIT2016 },
number = { 7 },
month = { May },
year = { 2016 },
issn = 0975-8887,
pages = { 25-27 },
numpages = 3,
url = { /proceedings/ncacit2016/number7/24742-3101/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Advancements in Computer & Information Technology
%A Tejas Nitore
%A Vishal Rale
%A Shubham Ingale
%A Prathamesh Maravade
%A Supriya Bhosale
%T A Profit Maximization Scheme with Ensuring Quality of Service for Customer Satisfaction in Cloud Computing
%J National Conference on Advancements in Computer & Information Technology
%@ 0975-8887
%V NCACIT2016
%N 7
%P 25-27
%D 2016
%I International Journal of Computer Applications
Abstract

As a viable and productive approach to give computing assets and services to clients on interest, cloud computing has turned out to be better known. From cloud service provider's point of view, profit is a standout amongst the most essential contemplations, and it is predominantly dictated by the design of a cloud administration stage under given business sector request. Be that as it may, a single long haul renting plan is normally received to design a cloud stage, which can't promise the administration quality however prompts genuine asset waste. In this paper, a double asset renting plan is outlined firstly in which fleeting renting and long haul renting are joined going for the current issues. This double renting plan can viably ensure the nature of administration of all solicitations what's more, lessen the asset squander enormously. Also, an administration framework is considered as a M/M/m+D lining model and the execution pointers that influence the profit of our double renting plan are dissected, e. g. , the normal charge, the proportion of solicitations that need makeshift servers, et cetera. Thirdly, a profit amplification issue is planned for the double renting plan and the streamlined arrangement of a cloud stage is gotten by taking care of the profit boost issue. At long last, a progression of computations directed to analyse the profit of our proposed plan with that of the single renting plan. The outcomes demonstrate that our plan cannot just ensure the administration nature of all solicitations, additionally get more profit than the last.

References
  1. K. Hwang, J. Dongarra, and G. C. Fox, Distributed andCloud Computing. Elsevier/Morgan Kaufmann, 2012.
  2. J. Cao, K. Hwang, K. Li, and A. Y. Zomaya, "Optimalmultiserver configuration for profit maximization in cloudcomputing," IEEE Trans. Parallel Distrib. Syst. , vol. 24, no. 6,pp. 1087–1096, 2013.
  3. A. Fox, R. Griffith, A. Joseph, R. Katz, A. Konwinski,G. Lee, D. Patterson, A. Rabkin, and I. Stoica, "Abovethe clouds: A berkeley view of cloud computing," Dept. lectrical Eng. and Comput. Sciences, vol. 28, 2009.
  4. R. Buyya, C. S. Yeo, S. Venugopal, J. Broberg, andI. Brandic, "Cloud computing and emerging it platforms:Vision, hype, and reality for delivering computing as the5th utility," Future Gener. Comp. Sy. , vol. 25, no. 6, pp. 599–616, 2009.
  5. P. Mell and T. Grance, "The NIST definition of cloud computing. national institute of standards and technology,"Information Technology Laboratory, vol. 15, p. 2009, 2009.
  6. J. Chen, C. Wang, B. B. Zhou, L. Sun, Y. C. Lee, andA. Y. Zomaya, "Tradeoffs between profit and customersatisfaction for service provisioning in the cloud," in Proc. 20th Int'l Symp. High Performance Distributed Computing. ACM, 2011, pp. 229–238.
  7. P. de Langen and B. Juurlink, "Leakage-aware multiprocessorscheduling," J. Signal Process. Sys. , vol. 57, no. 1, pp. 73–88, 2009.
Index Terms

Computer Science
Information Sciences

Keywords

Cloud Computing Guaranteed Service Quality Profit Maximization Queuing Model Service-level Agreement Waiting Time.