Abstract
The task scheduling problem of Cloud computing was modeled as an potential game. The mapping problem of users’ tasks to virtual machines was abstracted into a path selection problem in traffic network. Each task agent was viewed as a selfish participant, who competed with each other for virtual ma-chine. Considering the virtual machines’ capacity, we proves the game is a po-tential game which exists at least one Nash equilibrium. The consistency of Nash equilibrium and the minimum value of potential function is proved. Fi-nally, two improved task scheduling algorithm based on potential game are proposed. By our algorithms, the system can reach to a stable state eventually. Meanwhile, the algorithms can guarantee that the system load balancing level is adaptive to the amount of users’ task changing.
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Li, X., Zheng, Mc., Ren, X., Liu, X., Zhang, P., Lou, C. (2014). An Improved Task Scheduling Algorithm Based on Potential Games in Cloud Computing. In: Zu, Q., Vargas-Vera, M., Hu, B. (eds) Pervasive Computing and the Networked World. ICPCA/SWS 2013. Lecture Notes in Computer Science, vol 8351. Springer, Cham. https://doi.org/10.1007/978-3-319-09265-2_35
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DOI: https://doi.org/10.1007/978-3-319-09265-2_35
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-09264-5
Online ISBN: 978-3-319-09265-2
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