Cost Maximization Scheme with Guaranteed Quality of Service in Cloud Computing

Authors

  • V. Hema Priya  MCA Department, Vignan's Lara Institute of Technology and Science, Vadlamudi, Guntur, Andhra Pradesh, India
  • Kunchala Krishna Murthy  MCA Department, Vignan's Lara Institute of Technology and Science, Vadlamudi, Guntur, Andhra Pradesh, India

Keywords:

Cloud computing, trusted quality of service, profit Maximization, Service Charge, service-level agreement, multi-server system, Queuing Model

Abstract

Distributed computing is a processing base on web where previously, individuals would run applications or projects from programming downloaded on a physical PC or server in their building, distributed computing permits individuals access to similar sorts of uses through the web. This kind of administration is beneficial for every single like Customer, Service suppliers and Infrastructure suppliers, it is productive to client since it can run it's on request benefit execution through Multiple Server Model, it is additionally gainful to Service supplier and Infrastructure supplier through leasing strategy's, its incorporate both long haul and short– term leasing strategy's. Essentially long haul leasing methodology will harm vast number of assets waste and here and now leasing system will harm Money in brief time. So to provide productive Service in Cloud Computing with trusted nature of administration we join both long haul and short– term leasing methodologies through M\M\m+D lining Model and execution of our leasing procedure will ascertain on Average charge and demand proportion of specific administration from different server Model and era of demand.

References

  1. M. Armbrustet al., “A View of Cloud Computing,” Common. ACM, vol. 53, no. 4, 2010, pp. 50–58.
  2. K. Hwang, J. Dongarra, and G. C. Fox, Distributed and Cloud Computing. Elsevier/Morgan Kaufmann, 2012.
  3. J. Cao, K. Hwang, K. Li, and A. Y. Zomaya, “Optimal multiserver configuration for profit aximization in cloud computing,” IEEE Trans. Parallel Distrib. Syst., vol. 24, no. 6, pp. 1087–1096, 2013.
  4. 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. ElectricalEng. and Comput. Sciences, vol. 28, 2009.
  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 5th utility,” Future Gener. Comp. Sy., vol. 25, no. 6, pp. 599–616, 2009.
  6. P. Mell and T. Grance, “The NIST definition of cloud computing. National institute of standards and technology,”
  7. Information Technology Laboratory, vol. 15, p. 2009, 2009.
  8. K. Hwang, J. Dongarra, and G. C. Fox, Distributed andCloud Computing. Elsevier/Morgan Kaufmann, 2012.
  9. 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. andComput. Sciences, vol. 28, 2009.
  10. 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 the5th utility,” Future Gener. Comp. Sy., vol. 25, no. 6, pp. 599–616, 2009.
  11. P. Mell and T. Grance, “The NIST definition of cloudcomputing.national institute of standards and technology,”Information Technology Laboratory, vol. 15, p. 2009, 2009.
  12. Jing Mei, Kenli Li Aijia Ouyang and Keqin Li” A ProfitMaximization Scheme with Guaranteed Quality of Service in Cloud Computing”, 2015 IEEE

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Published

2018-04-30

Issue

Section

Research Articles

How to Cite

[1]
V. Hema Priya, Kunchala Krishna Murthy, " Cost Maximization Scheme with Guaranteed Quality of Service in Cloud Computing, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 2, pp.64-70, March-April-2018.