Paper Info
Title
Online combinatorial double auction for mobile cloud computing markets
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.
Year
DOI
Venue
2014
10.1109/PCCC.2014.7017103
IPCCC
Keywords
Field
DocType
amazon ec2,cloud pricing models,double-sided combinatorial auction model,combinatorial mathematics,mcc,winner determination problem model,internet,google app,microsoft azure,cloud computing,allocation efficiency,online combinatorial double auction,cloud service companies,social optimal solution,pricing,rackspace,mobile cloud computing markets,wdp,bismuth,mobile communication,resource management,computational modeling,cost accounting
Mobile cloud computing,Computer science,Combinatorial auction,Computer network,Utility computing,Common value auction,Double auction,Cloud testing,The Internet,Cloud computing
Conference
ISSN
Citations 
PageRank 
1097-2641
14
0.67
References 
Authors
19
6
Name
Order
Citations
PageRank
Ke Xu11392171.73
Yuchao Zhang25612.88
Xuelin Shi3386.04
Haiyang Wang457373.18
Yong Wang5141.01
Meng Shen627134.80