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

Authors

  • 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

Keywords:

Abstract

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.

References

  1. Liu, Z., S. Wang, Q. Sun, H. Zou and F. Yang, 2013. Cost -aware cloud service request scheduling for SaaS providers, Compute. J., 57: 291301.
  2. Buyya, R., R. Ranjan and R.N. Calheiros, 2010. Inter cloud: Utility oriented federation of cloud computing environments for scaling of application services, in Algorithms and Architectures for Parallel Processing.
  3. Khazaei, H., J. Misic and V.B. Misic, 2012.Performance analysis of cloud computing centres using M/G/m/m+ r queuing systems, IEEE Trans. Parallel Disturb. Syst., 23(5): 936943.
  4. P Mell and T. Grance, “The nist definition of cloud computing,” Communications of the Acm, vol. 53, no. 6, pp. 50–50, 2011.
  5. 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 Fifth Utility,” Future Generation Computer Systems, vol. 25, no. 6, pp. 599-616, 2009.
  6. Mell and T. Grance, “The NIST Definition of Cloud Computing,” Nat’l Inst. of Standards and Technology. http://csrc.nist.Gov/groups/SNS/cloud-computing/, 2009.
  7. Armbrust et al., “Above the Clouds: A Berkeley View of Cloud Computing,” Technical Report No. UCB/EECS-2009-28, Feb. 2009.
  8. L Klein rock, Queuing Systems: Theory, vol. 1. John Wiley and Sons, 1975.
  9. Computing, IEEE Transactions On Computers, J. Chiang and Y.C. Ouyang, 2014. Profit optimization in SLA -aware cloud services with a finite capacity queuing model, Math. Eng., pp: 111.
  10. Cao, K. Hwang, K. Li, and A. Y. Zomaya, “Optimal multiserver configuration for profit maximization in cloud computing,” IEEE Trans. Parallel Disturb. Syst., vol. 24, no. 6, pp. 1087–1096, 2013. http://www.salesforce.com/au, 2014.
  11. Mei, K. Li, A. Ouyang, and K. Li, “A profit maximization scheme with guaranteed quality of service in cloud computing,” IEEE Trans. Computers, vol. 64, no. 11, pp.3064–3078, Nov 2015.
  12. Durkee, “Why Cloud Computing Will Never be Free,” Comm. ACM, vol. 53, no. 5, pp. 62-69, 2010.

Downloads

Published

2018-05-08

Issue

Section

Research Articles

How to Cite

[1]
Manasa H M, Dr. K. Thippeswamy, " Maximize Profit with Satisfaction of Customer in Cloud Computing Via Optimal Multiserver Configuration, IInternational 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.