Title :
An intelligent resource allocation mechanism in the cloud computing environment
Author :
Jiajia Sun ; Xingwei Wang ; Min Huang
Author_Institution :
Northeastern Univ., Shenyang, China
Abstract :
In cloud computing, all kinds of idle resources can be pooled to establish a resource pool, and a service combined with different kinds of resources is provided for users through virtualization. Therefore, an effective mechanism is necessary for managing and allocating the resources. In this paper, we propose an intelligent resource allocation mechanism based on double combinatorial auction. A feedback evaluation based reputation system is implemented to avoid malicious behavior, and a price decision mechanism based on a BP (back propagation) neural network is proposed to make decisions scientifically. Since the winner determination is an NP hard problem, group search optimization algorithm is introduced to achieve optimal allocation with the optimization goals being market surplus and total reputation. We also conduct empirical studies to demonstrate the feasibility and effectiveness of the proposed mechanism.
Keywords :
backpropagation; cloud computing; computational complexity; decision making; neural nets; optimisation; resource allocation; search problems; virtualisation; BP neural network; NP hard problem; back propagation neural network; cloud computing environment; decision making; double combinatorial auction; feedback evaluation; group search optimization algorithm; idle resources; intelligent resource allocation mechanism; malicious behavior avoidance; price decision mechanism; reputation system; resource management; resource pool; virtualization; winner determination; Bandwidth; Cloud computing; Neural networks; Optimization; Resource management; Sociology; Statistics;
Conference_Titel :
Information Science and Technology (ICIST), 2013 International Conference on
Conference_Location :
Yangzhou
Print_ISBN :
978-1-4673-5137-9
DOI :
10.1109/ICIST.2013.6747652