How to bid and report in the Market of Virtualized Resources of Cloud Computing

The virtualized Resources of Cloud Computing are consumed by users with a typical style of "pay as you go", so the allocation and price policies should be made according to the requirements of consumers and the balance of supply and demand. In this real situation, a market mechanism for users is needed so as to take advantage of cloud resources efficiently. In this paper, we designed a market model for Virtual Machines (VM) on cloud computing platforms. And then, on the view of consumers, a formal specification of background is described in detail to yield the reports or biddings with the format of a bunch of target resources and condition so as to attend to certain combinational auction. At last, a set of experiments are designed and conducted, and show that, compared with Naive Biding (NB), Efficient Bidding Strategy (EBS) brings more utilities for consumers in any situation.

[1]  Daniel Grosu,et al.  Efficient Bidding for Virtual Machine Instances in Clouds , 2011, 2011 IEEE 4th International Conference on Cloud Computing.

[2]  Joseph W. Alba,et al.  Consumer Perceptions of Price (Un)Fairness , 2003 .

[3]  Rajkumar Buyya,et al.  Statistical Modeling of Spot Instance Prices in Public Cloud Environments , 2011, 2011 Fourth IEEE International Conference on Utility and Cloud Computing.

[4]  Yong Wang,et al.  Online combinatorial double auction for mobile cloud computing markets , 2014, 2014 IEEE 33rd International Performance Computing and Communications Conference (IPCCC).

[5]  Daniel Grosu,et al.  An Online Mechanism for Dynamic VM Provisioning and Allocation in Clouds , 2012, 2012 IEEE Fifth International Conference on Cloud Computing.

[6]  Peter Buxmann,et al.  Pricing Strategies of Software Vendors , 2009, Bus. Inf. Syst. Eng..

[7]  Ivan E. Sutherland,et al.  A futures market in computer time , 1968, Commun. ACM.

[8]  Sewook Wee,et al.  Debunking Real-Time Pricing in Cloud Computing , 2011, 2011 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing.

[9]  Peng Zhang,et al.  Datacenter net profit optimization with deadline dependent pricing , 2012, 2012 46th Annual Conference on Information Sciences and Systems (CISS).

[10]  Daniel Grosu,et al.  Combinatorial Auction-Based Allocation of Virtual Machine Instances in Clouds , 2010, 2010 IEEE Second International Conference on Cloud Computing Technology and Science.

[11]  Daniel Grosu,et al.  A Combinatorial Auction-Based Mechanism for Dynamic VM Provisioning and Allocation in Clouds , 2013, IEEE Transactions on Cloud Computing.

[12]  Artur Andrzejak,et al.  Reducing Costs of Spot Instances via Checkpointing in the Amazon Elastic Compute Cloud , 2010, 2010 IEEE 3rd International Conference on Cloud Computing.

[13]  GrosuDaniel,et al.  A Combinatorial Auction-Based Mechanism for Dynamic VM Provisioning and Allocation in Clouds , 2013 .

[14]  Muli Ben-Yehuda,et al.  Deconstructing Amazon EC2 Spot Instance Pricing , 2011, 2011 IEEE Third International Conference on Cloud Computing Technology and Science.

[15]  Daniel Grosu,et al.  Combinatorial Auction-Based Allocation of Virtual Machine Instances in Clouds , 2010, CloudCom.

[16]  Lan Xia,et al.  The Price is Unfair! A Conceptual Framework of Price Fairness Perceptions , 2004 .

[17]  Junwu Zhu,et al.  On market model and mechanism for cloud service , 2013 .

[18]  Yang Song,et al.  Optimal bidding in spot instance market , 2012, 2012 Proceedings IEEE INFOCOM.