A Profit Maximization Mechanism for Cloud Service Provider and Its Users

Authors

  • P. Radha  PG Scholar, Dept. of Computer Science and Engineering, Amalapuram Institute of Management Sciences and College of Engineering, Mummidivaram, East Godavari District, Andhra Pradesh, India
  • Mohammed Alisha  Associate Professor & Head of the Department, Computer Science and Engineering, Amalapuram Institute of Management Sciences and College of Engineering, Mummidivaram, East Godavari District, Andhra Pradesh, India
  • Dr. D. Mohan Reddy  Professor & Principal, Amalapuram Institute of Management Sciences and College of Engineering, Mummidivaram, East Godavari District, Andhra Pradesh, India

Keywords:

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

Abstract

The present world appropriated computing winding up so outstanding in perspective of an intense and profitable way to deal with gives figuring resources and organizations to customers on ask. A cloud pro communities see point advantage is a champion among the most basic examinations and it is principally directed by the plan of a cloud advantage organize under given market ask. In any case, standard single resource renting design can't guarantee the idea of all sales and besides wastes a ton of benefits. To vanquish that deficiency utilize Double-Quality-Guaranteed (DQG) resource renting design this solidifies whole deal renting with without a moment's hesitation renting. An M/M/m+D lining model and the execution markers expect basic part income driven lift. For security reason we are using characteristic based encryption contrive. The result demonstrates guaranteed the organization idea of all sales, security also obtain more advantage.

References

  1. E. Korpeo gIu, A. S ̧en, and K. G ̆uler, "Non-cooperative joint re- plenishment under asymmetric information," European Journal of Operational Research, vol. 227, no. 3, pp. 434-443, 2013.
  2. C. Liu, K. Li, C. Xu, and K. Li, "Strategy configurations of multiple users competition for cloud service reservation," IEEE Transactions on Parallel and CloudSystems, vol. 27, no. 2, pp. 508-520, 2016.
  3. M. J. Osborne and A. Rubinstein, "A course in game theory," MIT press, 1994.
  4. S. S. Aote and M. U. Kharat, "A game-theoretic model for dy-namic load balancing in cloudsystems," in Proceedings of the International Conference on Advances in Computing, Communication and Control, ser. ICAC3 '09. ACM, 2009, pp. 235-238.
  5. N. Li and J. Marden, "Designing games for cloudoptimiza-tion," Selected Topics in Signal Processing, IEEE Journal of, vol. 7,no. 2, pp. 230-242, April 2013.
  6. S. Penmatsa and A. T. Chronopoulos, "Game-theoretic static load balancing for cloudsystems," Journal of Parallel and CloudComputing, vol. 71, no. 4, pp. 537 - 555, 2011.
  7. G. Scutari and J.-S. Pang, "Joint sensing and power allocation in nonconvex cognitive radio games: Nash equilibria and cloudalgorithms," Information Theory, IEEE Transactions on, vol. 59, no. 7, pp. 4626-4661, July 2013.
  8. J. Cao, K. Hwang, K. Li, and A. Y. ZomayaOptimal multi-server configuration for profit maximization in cloud comput-ing,IEEE Trans. Parallel Distrib. Syst., vol. 24, no. 6, pp. 10871096, Jun. 2013.
  9. 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,FutureGener. Comput.Sy., vol. 25, no. 6, pp.599616, 2009.
  10. 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. Symp. High Perform.Distrib. Comput.,pp.229238,2011.
  11. B. Yang, F. Tan, Y.-S. Dai, and S. Guoou, L. Sun, Y. C. Lee, and A. Y. Zomaya, Performance evaluation of cloud service considering fault recovery,in Proc. 1st Int. Conf. Cloud Comput.,pp. 571576,2009.
  12. M. Mazzucco and D. DyachukOptimizing cloud providers revenues via energy efficient server allocation,Sustainable Com-put.:Inf. Syst., vol. 2, no. 1, pp. 112, 2012.
  13. Jing Mei, Kenli Li, Aijia Ouyang, Keqin Li, A Profit Maxi-mization Scheme with Guaranteed Quality of Service in Cloud Computing,IEEE Transactions On Computers, Vol. 64,2015.
  14. Y. J. Chiang and Y.C. Ouyang, Profit optimization in SLA-aware cloud services with a finite capacity queuing model,Math. Probl.Eng., vol. 2014, pp. 111, 2014.
  15. Z.Liu, S. Wang, Q. Sun, H. Zou, and F. Yang Cost-aware cloud service request scheduling for SaaS providers,Comput. J., vol. 57, pp. 291301, 2013
  16. R. Buyya, R. Ranjan, and R. N. Calheiros Intercloud:Utilityoriented federation of cloud computing environments for scaling of application services, in Algorithms and Architectures for Parallel Processing,. New York, NY, USA: Springer,pp. 1331,2010.

Downloads

Published

2018-02-28

Issue

Section

Research Articles

How to Cite

[1]
P. Radha, Mohammed Alisha, Dr. D. Mohan Reddy, " A Profit Maximization Mechanism for Cloud Service Provider and Its Users, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 1, pp.446-452, January-February-2018.