Abstract
Optimizing the energy consumption of date centers has become a focus of attention in mobile cloud computing. However, the existing researches on energy management are rarely associated with the effect of price volatility. In this paper we propos an algorithm of energy optimization base on price volatility. The tariff interval is set base on the world time zones and energy optimization is iterative calculations using dynamic price method, a dependencies hierarchical strategy of tasks base on this policy is proposed and designed. By increasing the parallelism and execution dependencies of tasks, the amount of data movement and idle probability of data center nodes is reduced. The experimental results show that the algorithm can significantly minimize energy consumption while improving the efficiency of system.
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Hao, L., Cui, G., Ke, W., You, B. (2014). An Energy Optimization Algorithm of Date Centers Base on Price Volatility. In: Cai, Z., Wang, C., Cheng, S., Wang, H., Gao, H. (eds) Wireless Algorithms, Systems, and Applications. WASA 2014. Lecture Notes in Computer Science, vol 8491. Springer, Cham. https://doi.org/10.1007/978-3-319-07782-6_67
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DOI: https://doi.org/10.1007/978-3-319-07782-6_67
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07781-9
Online ISBN: 978-3-319-07782-6
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