Open Access Open Access  Restricted Access Subscription or Fee Access

An Optimal Service Pricing for a Cloud Resource Management Techniques in Economic Grid Environments

A. Vijaya, P. Selvi

Abstract


Cloud computing, the new trend for service infrastructures requires user multi-tenancy as well as minimal capital expenditure. In a cloud that services large amounts of data that are massively collected and queried, such as scientific data, users typically pay for query services. The cloud supports caching of data in order to provide quality query services. User payments cover query execution costs and maintenance of cloud infrastructure, and incur cloud profit. The challenge resides in providing efficient and resource-economic query services while maintaining a profitable cloud. In this work we propose an economic model for self-tuned cloud caching targeting the service of scientific data. The proposed economy is adapted to policies that encourage high-quality individual and overall query services but also brace the profit of the cloud. We propose a cost model that takes into account all possible query and infrastructure expenditure. The experimental study proves that the proposed solution is viable for a variety of workloads and data.

Keywords


Go Grid, Optimal Pricing, Optimization, Query Execution

Full Text:

PDF

References


Samrat Bhattacharjee, Kenneth L. Calvert, and Ellen W. Zegura. Selforganizing wide-area network caches. In IEEE Infocom’98, 1998.

Tanu Malik, Randal C. Burns, and Amitabh Chaudhary.Bypass caching: Making scientific databases good network citizens. In ICDE, pages 94–105, 2005.

Series of meetings of the EPFL-IC-IIF-DIAS lab with the data management group of the European Organization for Nuclear Research (CERN) started on the December 9th 2008.

Lakshmish Ramaswamy, Ling Liu, and Arun Iyengar. Scalable delivery of dynamic content using a cooperative edge cache grid. IEEE Trans.Knowl. Data Eng., 19(5):614–630, 2007.

Lakshmish Ramaswamy, Ling Liu, and Arun Iyengar. Cache clouds: Cooperative caching of dynamic documents in edge networks. InICDCS-2005, pages 229–238, 2005.

K. Schnaitter, N. Polyzotis, and L. Getoor. Modeling index interactions. In VLDB, 2009.

Debabrata Dash, Verena Kantere, and Anastasia Ailamaki. An economic model for self-tuned cloud caching. In ICDE, 2009.

Ambuj Tewari and Peter Bartlett. Optimistic linear programming gives logarithmic regret for irreducible mdps. In J.C. Platt, D. Koller,

Y. Singer, and S. Roweis, editors, Advances in Neural Information Processing Systems 20, pages 1505–1512. MIT Press, Cambridge, MA, 2008.

http://tomopt.com/tomlab/.

http://aws.amazon.com/.

Y. Masuda and S. Whang. Dynamic Pricing for Network Service:Equilibrium and Stability. Management Science.

M. Morari and J. H. Lee. Model predictive control: past, present and future. Comput. Chem. Engng, 23:667–682, 1999.

Rafael A. Moreno. A.B.: Job scheduling and resource management techniques in economic grid environments. In Across Grids 2003, pages 25–32, 2004.

Y. Narahari, C. V. L. Raju, K. Ravikumar, and S. Shah. Dynamic pricing models for electronic business. In Whiite Paper. Indian Institute of Science, 2005.

Z. Lin, S. Ramanathan, and H. Zhao. Usage-based dynamic pricing of Web services for optimizing resource allocation. Information Systems and E-Business Management, 3(3), 2005.

Verena Kantere, Debabrata Dash, Gregory Francois, Sofia Kyriakopoulou, Anastasia Ailamaki, "Optimal service pricing for a cloud cache", IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, Digital Object Indentifier 10.1109/TKDE.2011.35

D. Dash, Y. Alagiannis, C. Maier, and A. Ailamaki, ―Caching All Plans with One Call to the Optimizer,‖ Proc. Self-Managing Database Systems (SMDB), 2010.

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.

G. Gallego and G. van Ryzin, ―Optimal Dynamic Pricing of Inventories with Stochastic Demand over Finite Horizons,‖ Management Science, vol. 40, no. 8, pp. 999-1020, 1994.

L. He and J. Walrand, ―Pricing Differentiated Internet Services,‖ Proc. IEEE INFOCOM, pp. 195-204, 2005.

Verena Kantere, Debabrata Dash, Gre´ gory Franc¸ois, Sofia Kyriakopoulou, and Anastasia Ailamaki, ―Optimal Service Pricing for a Cloud Cache‖, IEEE Transaction On Knowledge & Data Engineering, VOL. 23, NO. 9, SEPTEMBER 2011.

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.

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.

R.A. Moreno, ―A.B.: Job Scheduling and Resource Management Techniques In Economic Grid Environments,‖ Proc. Across Grids 2003, pp. 25-32, 2004


Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.