DocumentCode
2322236
Title
Pricing and Resource Allocation in a Cloud Computing Market
Author
Du, Linna
Author_Institution
Sch. of Bus., Univ. of Connecticut, Storrs, CT, USA
fYear
2012
fDate
13-16 May 2012
Firstpage
817
Lastpage
822
Abstract
The problem is identified as a pricing driven virtual machine (VM) revenue maximization problem with Markovian traffics in a cloud market composed of hybrid cloud and public cloud. A pooled resource allocation model is built followed by numerical tests. The results indicate that hybrid cloud performs the best and the resource allocation model helps optimally allocate the pooled resources.
Keywords
Markov processes; cloud computing; optimisation; pricing; resource allocation; virtual machines; Markovian traffics; cloud computing market; hybrid cloud; numerical tests; optimal pooled resource allocation model; pricing driven virtual machine revenue maximization problem; public cloud; Cloud computing; Computational modeling; Contracts; Pricing; Resource management; Virtual machining; capacity planning; hybrid cloud; pricing; public cloud;
fLanguage
English
Publisher
ieee
Conference_Titel
Cluster, Cloud and Grid Computing (CCGrid), 2012 12th IEEE/ACM International Symposium on
Conference_Location
Ottawa, ON
Print_ISBN
978-1-4673-1395-7
Type
conf
DOI
10.1109/CCGrid.2012.148
Filename
6217517
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