Abstract
A good scheduling algorithm is a key for load balance system, in which system’s load meets users’ requirement. Here, a new load balance algorithm based on swarm intelligence is proposed which can enhance the production of the systems while schedule tasks to VMs properly. Here tasks completion time is compared with some other classical algorithms. The result shows that the proposed algorithm could meet users’ requirement and get resource utilization higher. The algorithm is better for network of a large area which is simulated by CloudSim.
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© 2016 Springer International Publishing Switzerland
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Tang, L., Pan, JS., Hu, Y., Ren, P., Tian, Y., Zhao, H. (2016). A Novel Load Balance Algorithm for Cloud Computing. In: Zin, T., Lin, JW., Pan, JS., Tin, P., Yokota, M. (eds) Genetic and Evolutionary Computing. GEC 2015. Advances in Intelligent Systems and Computing, vol 388. Springer, Cham. https://doi.org/10.1007/978-3-319-23207-2_3
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DOI: https://doi.org/10.1007/978-3-319-23207-2_3
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