Dynamic Pricing Model for a Cloud Cache Environment

  ijett-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2013 by IJETT Journal
Volume-4 Issue-4                       
Year of Publication : 2013
Authors : Saravanan. K , Sri Vigna Hema. V

Citation 

Saravanan. K , Sri Vigna Hema. V. "Dynamic Pricing Model for a Cloud Cache Environment". International Journal of Engineering Trends and Technology (IJETT). V4(4):743-749 Apr 2013. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract

Cloud computing is an emerging innovative IT - based business model which catches the attention of practitioners, for its potentiality of industry adoption, as well as of academicians, for research undertaking in different dimensions. Cloud data management services are prevailing to proffer quality query services via cloud cache enviro nment. The c lients can propound their query to the cloud data and charge price as - per - usage. Cloud needs a financial prudence to manage service of multiple users in handy manner. Currently , Cache as a Service (CaaS) model is proposed as an elective service s to offer infrastructure which assist to control the cloud economy by affording cloud profit. A dynamic pricing scheme exploits a new - fangled method that estimates the cost of a cache structure and enhances the cloud revenue assure for customer satisfacti on using price - demand model premeditated for cloud cache. As a result, it endows with preeminent and cost - efficiency solution for both user s and cloud providers.

References

[1] G.R. Bitran and R. Caldentey, ?An Overview of Pricing Models for Revenue Management,? Manufacturing and Service Operations Management, v ol. 5, no. 3, pp. 203 - 209, 2003.
[2] X. - R. Cao, H. - X. Shen, R. Milito, and P. Wirth, ?Internet Pricing with a Game Theoretical Approach: Concepts and Examples,? IEEE/ACM Trans. Networking, vol. 10, no. 2, pp. 208 - 216, Apr. 2002.
[3] D. Dash, V. Kantere, and A. Ailamaki, ?An Economic Model for Self - Tuned Cloud Caching,? Proc. IEEE Int’l Conf. Data Eng. (ICDE ’09), 2009.
[4] C. Ernemann, V. Hamscher, and R. Yahyapour, ?Economic Scheduling In Grid Computing,? Proc. Eighth Int’l Workshop Job Scheduling Strat egies for Parallel Processing (JSSPP ’02), 2002.
[5] A. Ghose, V. Choudhary, T. Mukhopadhyay, and U. Rajan, ?Dynamic Pricing: A Strategic advantage for Electronic Retailers,? Proc. Conf. Information Systems and Technology (CIST), 2003.
[6] I.E. Grossman n and Z. Kravanja, Large - Scale Optimization with Applications: Optimal Design and Control. Springer, 1997.
[7] L. He and J. Walrand, ?Pricing Differentiated Internet Services,? Proc. IEEE INFOCOM, pp. 195 - 204, 2005.
[8] http://aws.amazon.com/elastic clou d cache , 201 3 .
[9] http:// aws.amazon.com/s3 /, 201 3 .
[10] V. Marbukh and K. Mills, ?Demand Pricing and Resource Allocation In Market - Based Compute Grids: A Model and Initial Results,? Proc. Int’l Conf. Networking (ICN), pp. 752 - 757, 2008.
[11] Y. Narahari , C.V.L. Raju, K. Ravikumar, and S. Shah, ?Dynamic Pricing Models for Electronic Business,? Dynamic Pricing Models for Electronic Business, vol. 30, pp. 231 - 256, 2005.
[12] Z. Lin, S. Ramanathan, and H. Zhao, ?Usage - Based Dynamic Pricing of Web Services f or Optimizing Resource Allocation,? Information Systems and E - Business Management, vol. 3, no. 3, pp. 221 - 242, 2005.
[13] B. Srinivasan, D. Bonvin, E. Visser, and S. Palanki, ?Dynamic Optimization of Batch Processes: Ii. Role of Measurements In Handling Uncertainty,? Computers and Chemical Eng., vol. 27, pp. 27 - 44, 2003.
[14] P. - S. You and T.C. Chen, ?Dynamic Pricing of Seasonal Goods with Spot and Forward Purchase Demands,? Computer and Math. Applications, vol. 54, no. 4, pp. 490 - 498, 2007.
[15] L. Wang, J. Zhan, and W. Shi, ?In Cloud, Can Scientific Communities Benefit from the Economies of Scale?,? IEEE Trans. Parallel and Distributed Systems, vol. 23, no. 2, pp. 296 - 303, Feb. 2012.
[16] Hyuck Han, Young Choon Lee, Woong Shin, Hyungsoo Jung, Heon Y.Yeom, and Albert Y.Zomaya, ?Cashing in on the Cache in the Cloud,? IEEE Trans. Parallel and Distributed Systems, vol. 23, no. 8, pp. 1387 - 1399, Aug. 2012.
[17] M.D. Dahlin, R.Y. Wang, T.E. Anderson, and D.A. Patterson, ?Cooperative Caching: Using Remote Client Memory to Improve File System Performance,? Proc. First USENIX Conf. Operating Systems Design and Implementation (OSDI ’94), 1994.
[18] T.E. Anderson, M.D. Dahlin, J.M. Neefe, D.A. Patterson, D.S. Roselli, and R.Y. Wang, ?Serverless Network File Systems,? ACM Trans. Computer Systems, vol. 14, pp. 41 - 79, Feb. 1996.
[19] A. Menon, J.R. Santos, Y. Turner, G.J. Janakiraman, and W. Zwaenepoel, ?Diagnosing Performance Overheads in the Xen Virtual Machine Environment,? Proc. First ACM/USENIX Int’l Conf. Virtual Execution Environments (VEE ’05), 2005.
[20] L. Cherkasova and R. Gardner, ?Measuring CPU Overhead for I/O Processing in the Xen Virtual Machine Monitor,? Proc. Ann. Conf. USENIX Ann. Technical Conf. (ATC ’05), 200

Keywords
Cloud Computing, Query Services, Cache as a Service, Dynamic Pricing, Cost Efficiency