A Knowledge-based Continuous Double Auction Model for Cloud Market

Recently, the Storage Networking Industry Association (SNIA) has released the first standard for cloud interoperability. With more and more standards for interoperability emerging, it can be expected that a global cloud resource exchange market will form. In such a market, it is challenging to present a dynamic pricing scheme to meet different requirements. To cope with the challenge, in this paper we first present a framework for constructing global cloud resource markets and then propose a knowledge-based continuous double auction (CDA) model that determines the price of cloud resources using a learning algorithm based on historical trading information. Experimental result shows that our model can attain high market efficiency as well as stable trading price.

[1]  N. Nisan,et al.  Globally distributed computation over the Internet-the POPCORN project , 1998, Proceedings. 18th International Conference on Distributed Computing Systems (Cat. No.98CB36183).

[2]  Rajkumar Buyya,et al.  Market-Oriented Cloud Computing: Vision, Hype, and Reality of Delivering Computing as the 5th Utility , 2009, 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid.

[3]  John Dickhaut,et al.  Price Formation in Double Auctions , 2001, E-Commerce Agents.

[4]  David Abramson,et al.  The Grid Economy , 2005, Proceedings of the IEEE.

[5]  Stamatis Vassiliadis,et al.  Market-Based Resource Allocation in Grids , 2006, 2006 Second IEEE International Conference on e-Science and Grid Computing (e-Science'06).

[6]  Spyros Lalis,et al.  JaWS: An Open Market-Based Framework for Distributed Computing over the Internet , 2000, GRID.

[7]  Richard Wolski,et al.  G-commerce: market formulations controlling resource allocation on the computational grid , 2001, Proceedings 15th International Parallel and Distributed Processing Symposium. IPDPS 2001.

[8]  P. Luh,et al.  Optimal integrated generation bidding and scheduling with risk management under a deregulated daily power market , 2002, 2002 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.02CH37309).

[9]  Rajkumar Buyya,et al.  Aneka: Next-Generation Enterprise Grid Platform for e-Science and e-Business Applications , 2007, Third IEEE International Conference on e-Science and Grid Computing (e-Science 2007).

[10]  Andreas Wilke,et al.  Using clouds for metagenomics: A case study , 2009, 2009 IEEE International Conference on Cluster Computing and Workshops.