Efficient Nash equilibrium based cloud resource allocation by using a continuous double auction

To allocate cloud resources efficiently and obtain the maximum economic benefit are the major goals of the cloud resource providers and users. The objective of this paper is to present a novel cloud resource allocation algorithm named NECDA to overcome some of the shortcomings of the current mechani...

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Vydáno v:2010 International Conference On Computer Design and Applications Ročník 1; s. V1-94 - V1-99
Hlavní autoři: Dawei Sun, Guiran Chang, Chuan Wang, Yu Xiong, Xingwei Wang
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.06.2010
Témata:
Cloud computing
Computational modeling
Computer networks
continuous double auction
Distributed computing
Environmental economics
Nash equilibrium
Platform virtualization
Power generation economics
QoS
resource allocation
Resource management
Resource virtualization
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Shrnutí:To allocate cloud resources efficiently and obtain the maximum economic benefit are the major goals of the cloud resource providers and users. The objective of this paper is to present a novel cloud resource allocation algorithm named NECDA to overcome some of the shortcomings of the current mechanisms. A cloud resource allocation model of m*n type based on M/M/1 queuing system is established first. Then the Nash equilibrium mode is applied in the cloud computing among m*n allocation environment, the optimization objective of each allocation is performance-QoS and economic-QoS, and the Nash equilibrium is achieved by taking advantage of the continuous double auction in each step, each provider agent determines its requested value based on its workload, and each user agent determines its bid value based on the remaining time and resources. By simulations, we conclude that the NECDA is more suited to cloud computing environments and can better meet the QoS requirements of users.
DOI:10.1109/ICCDA.2010.5541088