Online combinatorial double auction for mobile cloud computing markets

Ke Xu, Yuchao Zhang, Xuelin Shi, Haiyang Wang, Yong Wang, Meng Shen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

27 Scopus citations

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 languageEnglish (US)
Title of host publication2014 IEEE 33rd International Performance Computing and Communications Conference, IPCCC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479975754
DOIs
StatePublished - Jan 20 2015
Event33rd IEEE International Performance Computing and Communications Conference, IPCCC 2014 - Austin, United States
Duration: Dec 5 2014Dec 7 2014

Publication series

Name2014 IEEE 33rd International Performance Computing and Communications Conference, IPCCC 2014
Volume2014-January

Other

Other33rd IEEE International Performance Computing and Communications Conference, IPCCC 2014
CountryUnited States
CityAustin
Period12/5/1412/7/14

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