By Topic

RAS-M: Resource Allocation Strategy Based on Market Mechanism in Cloud Computing

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Xindong You ; Sch. of Comput. Sci. & Technol., Hangzhou Dianzi Univ., Hangzhou, China ; Xianghua Xu ; Jian Wan ; Dongjin Yu

Resource management is one of the main issues in cloud computing. in order to improve resource utilization of large data centers while delivering services with higher QoS to cloud clients, a resource allocation strategy based on market (RAS-M) is proposed. Firstly, the architecture and the market model of RAS-M are constructed, in which a QoS-refection utility function is designed according to different resource requirements of the cloud client, the equilibrium state of RAS-M is defined and the proof of its optimality is given. Secondly, GA-based price adjusted algorithm is introduced to deal with the problem of achieving the equilibrium state of RAS-M. Finally, RAS-M is implemented upon Xen to reallocate the VM's weight. Experiments results obtained by setting different parameters show that RAS-M can achieve the equilibrium state approximately, that is, demand and supply is balanced nearly, which validates RAS-M is effective and practicable, and is capable of achieving its goal.

Published in:

ChinaGrid Annual Conference, 2009. ChinaGrid '09. Fourth

Date of Conference:

21-22 Aug. 2009