Abstract
The emergence of cloud computing as an efficient means of providing computing as a form of utility can already be felt with the burgeoning of cloud service companies. Notable examples including Amazon EC2, Rackspace, Google App and Microsoft Azure have already attracted an increasing number of users over the Internet. However, due to the dynamic behaviors of some users, the traditional cloud pricing models cannot well support such popular applications as Mobile Cloud Computing (MCC). To mitigate this problem, we take our first steps towards the design of an efficient double-sided combinatorial auction model in the context of mobile cloud computing. In particular, we carefully develop the framework of online combinatorial double auctions and apply a Winner Determination Problem (WDP) model for the proposed auction mechanism. The experiment results indicate that the allocation efficiency of our proposed online auction mechanism is comparable to the social optimal solution.
| Original language | English (US) |
|---|---|
| Title of host publication | 2014 IEEE 33rd International Performance Computing and Communications Conference, IPCCC 2014 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781479975754 |
| DOIs | |
| State | Published - Jan 20 2015 |
| Event | 33rd IEEE International Performance Computing and Communications Conference, IPCCC 2014 - Austin, United States Duration: Dec 5 2014 → Dec 7 2014 |
Publication series
| Name | 2014 IEEE 33rd International Performance Computing and Communications Conference, IPCCC 2014 |
|---|---|
| Volume | 2014-January |
Other
| Other | 33rd IEEE International Performance Computing and Communications Conference, IPCCC 2014 |
|---|---|
| Country/Territory | United States |
| City | Austin |
| Period | 12/5/14 → 12/7/14 |
Bibliographical note
Publisher Copyright:© 2014 IEEE.
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