Title :
Pricing and Resource Allocation in a Cloud Computing Market
Author_Institution :
Sch. of Bus., Univ. of Connecticut, Storrs, CT, USA
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;
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
DOI :
10.1109/CCGrid.2012.148
