DocumentCode :
3110018
Title :
A QoS-Constrained Resource Allocation Game in Federated Cloud
Author :
Xin Xu ; Huiqun Yu ; Xinyu Cong
Author_Institution :
Dept. of Comput. Sci. & Eng., East China Univ. of Sci. & Technol., Shanghai, China
fYear :
2013
fDate :
3-5 July 2013
Firstpage :
268
Lastpage :
275
Abstract :
Federated cloud emerges recently to overcome resource limitation of IaaS providers by federating different cloud resources which belong to separate organizations. The main objective of IaaS providers is to obtain maximal profits and guarantee QoS requirements of customers at the same time. In this paper, we propose a cooperative game algorithm that helps the resource allocation decision-making process with a flexible resource amount of the total federation. This algorithm also takes the QoS constraints into account and provides two different approaches for cost-sensitive or time-sensitive customers. Simulation results show that the proposed algorithm improves various QoS requirements and increases the satisfaction level of customer´s requests.
Keywords :
cloud computing; customer satisfaction; game theory; quality of service; resource allocation; IaaS providers; QoS requirement guarantee; QoS-constrained resource allocation game; cloud resource federation; cooperative game algorithm; cost-sensitive customers; customer request; customer satisfaction; federated cloud; resource allocation decision-making process; resource limitation; time-sensitive customers; Cloud computing; Games; Outsourcing; Quality of service; Registers; Resource management; Time factors; Cooperative Game; Federated Cloud; QoS; Resource Allocation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 2013 Seventh International Conference on
Conference_Location :
Taichung
Type :
conf
DOI :
10.1109/IMIS.2013.53
Filename :
6603684
Link To Document :
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