Title :
A modified genetic algorithm for multi-criteria optimization based on Eucalyptus
Author :
Rui Zhang;Xiaoyong Li
Author_Institution :
School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China
Abstract :
Eucalyptus is an open source cloud platform, scholars can study many problems of cloud computing from its extendibility and open source. In terms of the research about resource scheduling, Eucalyptus has its own three algorithms, Greedy algorithm, Round Robin algorithm and Power Save algorithm. They each only consider part of resource scheduling. The existing algorithms can not meet a comprehensive need, such as load balancing, migration cost, QOS and so on. Therefore, a new algorithm which can get global optimization solution is proposed. Genetic algorithm has the features of global optimal and is easy to be implemented. To satisfy multiple goals about resource scheduling on Eucalyptus, a modified genetic algorithm for multi-criteria optimization based on Eucalyptus is presented. Experimental results show the merits and feasibility of the proposed algorithm.
Keywords :
Decision support systems
Conference_Titel :
Signal Processing, Communications and Computing (ICSPCC), 2015 IEEE International Conference on
Print_ISBN :
978-1-4799-8918-8
DOI :
10.1109/ICSPCC.2015.7338957