Open Access   Article Go Back

Profit Maximization for Cloud Services in Multiserver Environment

Raushan Kashypa1 , Sowmya Naik P.T2

Section:Review Paper, Product Type: Conference Paper
Volume-04 , Issue-03 , Page no. 13-17, May-2016

Online published on Jun 07, 2016

Copyright © Raushan Kashypa , Sowmya Naik P.T . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Raushan Kashypa , Sowmya Naik P.T , “Profit Maximization for Cloud Services in Multiserver Environment,” International Journal of Computer Sciences and Engineering, Vol.04, Issue.03, pp.13-17, 2016.

MLA Style Citation: Raushan Kashypa , Sowmya Naik P.T "Profit Maximization for Cloud Services in Multiserver Environment." International Journal of Computer Sciences and Engineering 04.03 (2016): 13-17.

APA Style Citation: Raushan Kashypa , Sowmya Naik P.T , (2016). Profit Maximization for Cloud Services in Multiserver Environment. International Journal of Computer Sciences and Engineering, 04(03), 13-17.

BibTex Style Citation:
@article{Kashypa_2016,
author = {Raushan Kashypa , Sowmya Naik P.T },
title = {Profit Maximization for Cloud Services in Multiserver Environment},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2016},
volume = {04},
Issue = {03},
month = {5},
year = {2016},
issn = {2347-2693},
pages = {13-17},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=54},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=54
TI - Profit Maximization for Cloud Services in Multiserver Environment
T2 - International Journal of Computer Sciences and Engineering
AU - Raushan Kashypa , Sowmya Naik P.T
PY - 2016
DA - 2016/06/07
PB - IJCSE, Indore, INDIA
SP - 13-17
IS - 03
VL - 04
SN - 2347-2693
ER -

           

Abstract

Cloud computing provides resources and services to customers in a dynamic basis. That’s why it has become an effective and very efficient way for computing. Profit plays a very important role from perspective of a cloud service provider. This profit will be determined based on how a cloud service platform has been configured and it also depends on market demand. Generally a single long term renting will be used to configure a cloud platform which is not capable of quality service and it also leads to a greater resource waste.

Key-Words / Index Term

Cloud computing, guaranteed service quality, multiserver system, profit maximization, queuing model, service-level agreement, waiting time.

References

[1] K. Hwang, J. Dongarra, and G. C. Fox, Distributed and Cloud Computing. Elsevier/Morgan Kaufmann, 2012.
[2] J. Cao, K. Hwang, K. Li, and A. Y. Zomaya, “Optimal multiserver configuration for profit maximization in cloud computing,” 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, “Above the clouds: A berkeley view of cloud computing,” Dept. Electrical Eng. and Comput. Sciences, vol. 28, 2009.
[4] R. Buyya, C. S. Yeo, S. Venugopal, J. Broberg, and I. Brandic, “Cloud computing and emerging it platforms:
Vision, hype, and reality for delivering computing as the 5th 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, and A. Y. Zomaya, “Tradeoffs between profit and customer satisfaction for service provisioning in the cloud,” in Proc. 20th Int’l Symp. High Performance Distributed Computing. ACM, 2011, pp. 229–238.
[7] C T Lin “Comparative based analysis of scheduling algorithm of resource management in cloud computing environment” vol 1, issue 1, July 2013, IJCSE issue.