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Allocation of cloud storage based on improved genetic algorithm

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4 Author(s)
Chongguang Ren ; School of Computer Science, Nanjing University of Science and Technology, China ; Wenming Gui ; Haidong Li ; Guangyi Bai

With respect to the storage allocation of cloud storage, this paper presents a new method to solve the problem based on improved genetic algorithm. The model is the storage efficiency of cloud storage systems as the goal, to achieve load balancing, high efficient and storage security. Firstly, preprocess the storage tasks and nodes during the storage task allocation, and manage virtual tasks and nodes after preprocessing in a whole. And then apply the natural number encoding to encode the storage task, combine with storage efficiency matrix for the individual choice, and improve the crossover operator and mutation operator. Simulation results show that this strategy can achieve the cloud storage allocation effectively.

Published in:

ICT and Energy Efficiency and Workshop on Information Theory and Security (CIICT 2012), Symposium on

Date of Conference:

4-5 July 2012