A Procurement Mechanism for Dynamic Resource Pricing In Cloud Computing

Authors

  • Priya D  Department Of Computer Science and Engineering, Dhanalakshmi Srinivasan College of Engineering and Technology, Chennai, Tamilnadu, India
  • Revathy G  Department Of Computer Science and Engineering, Dhanalakshmi Srinivasan College of Engineering and Technology, Chennai, Tamilnadu, India
  • Yogalakshmi A  Department Of Computer Science and Engineering, Dhanalakshmi Srinivasan College of Engineering and Technology, Chennai, Tamilnadu, India
  • Jasmin Suji V  Department Of Computer Science and Engineering, Dhanalakshmi Srinivasan College of Engineering and Technology, Chennai, Tamilnadu, India

Keywords:

Resource procurement, dynamic pricing, cloud broker, multiattribute auctions

Abstract

Procurement is the acquisition of goods, services or works from an outside external source. We present a cloud resource procurement approach which not only automates the selection of an appropriate cloud vendor but also implements dynamic pricing. Three possible mechanisms are suggested for cloud resource procurement: cloud-dominant strategy incentive compatible (C-DSIC), cloud-Bayesian incentive compatible (C-BIC), and cloud optimal (C-OPT). C-DSIC is dominant strategy incentive compatible, based on the VCG mechanism, and is a low-bid Vickrey auction. C-BIC is Bayesian incentive compatible, which achieves budget balance. C-BIC does not satisfy individual rationality. In C-DSIC and C-BIC, the cloud vendor who charges the lowest cost per unit Quality of Service is declared the winner. We also propose a procurement module for a cloud broker which can implement C-OPT to perform resource procurement in a cloud computing context. In C-OPT, the cloud vendor with the least virtual cost is declared the winner. C-OPT overcome the limitations of both C-DSIC and C-BIC. In additional we also implement the dynamic pricing and enable the link for specified clients.

References

  1. Y. Narahari, C. Raju, K. Ravikumar, and S. Shah, “Dynamic Pricing Models for Electronic Business,” Sadhana, vol. 30, pp. 231256, 2005.
  2. S. Parsons, J.A. Rodriguez-Aguilar, and M. Klein, “Auctions and Bidding: A Guide for Computer Scientists,” ACM Computing Surveys, vol. 43, no. 2, article 10, Jan. 2011, doi:10.1145/1883612.1883617.
  3. G. Iyengar and A. Kumar, “Optimal Procurement Mechanisms for Divisible Goods with Capacitated Suppliers,” Rev. Economic Design, vol. 12, no. 2, pp. 129-154, June 2008.
  4. I. Foster, C. Kesselman, C. Lee, B. Lindell, K. Nahrstedt, and A. Roy, “A Distributed Resource Management Architecture that Supports Advance Reservations and Co-Allocation,” Proc. Int’l Workshop Quality of Service, pp. 27-36, 1999.
  5. H. Casanova and J. Dongarra, “NetSolve: A Network Server for Solving Computational Science Problems,” The Int’l J. Supercomputer Applications and High Performance Computing, vol. 11, pp. 212-223, 1995.
  6. S.J. Chapin, D. Katramatos, J.F. Karpovich, and A.S. Grimshaw, “The Legion Resource Management System,” Proc. Job Scheduling Strategies for Parallel Processing, pp. 162-178, 1999.
  7. R. Buyya, D. Abramson, J. Giddy, and H. Stockinger, “Economic Models for Resource Management and Scheduling in Grid Computing,” Concurrency and Computation: Practice and Experience, vol. 14, nos. 13-15, pp. 1507-1542, 2002.
  8. M. Mihailescu and Y.M. Teo, “Dynamic Resource Pricing on Federated Clouds,” Proc. IEEE/ACM 10th Int’l Conf. Cluster, Cloud and Grid Computing (CCGRID ’10), pp. 513-517, 2010.
  9. B. Kalyanasundaram, M. Velauthapillai, and J. Waclawsky, “Unlocking the Advantages of Dynamic Service Selection and Pricing,” Theory Computing System, vol. 38, pp. 393-410, July 2005.
  10. Y. Narahari, D. Garg, R. Narayanam, and H. Prakash, Game Theoretic Problems in Network Economics and Mechanism Design Solutions. Springer, 2009.
  11. A. Mas-Colell, M.D. Whinston, and J.R. Green, Microeconomic Theory. Oxford Univ. Press, June 1995.

International Journal of Scientific Research in Science, Engineering and Technology

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Published

2015-04-22

Issue

Volume 1, Issue 2, March-April-2015

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Priya D, Revathy G, Yogalakshmi A, Jasmin Suji V " A Procurement Mechanism for Dynamic Resource Pricing In Cloud Computing" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 2, pp.525-530, March-April-2015.