Abstract
[Purpose] Due to the high energy consumption of Cloud Computing Center, a load balance method based on energy-awareness is proposed in order to optimize energy consumption. [Method] Firstly, the energy consumption of the server when it is in activation state, suspended state and close state is studied. Secondly, the key factors affecting energy consumption are analyzed and the mathematical model is established. Finally, load balance method based on historical load data is proposed with energy consumption as the optimization target. [Result] Simulation experiments on ContainerCloudSim platform show that the proposed method can effectively reduce the energy consumption of Cloud Computing Center. [Conclusions] Based on the prediction of historical load data and in order to reduce the energy consumption of Cloud Computing Center, this paper puts forward a load balance method based on energy-awareness, which is simple, easy to implement and worthy of promotion.
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Acknowledgements
This work is supported by the National Natural Science Foundation of China (No. 61562002), and is also supported by Project of Gansu Institute of Political Science and Law (No. 2017XQNLW14).
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Li, Z., He, Z. (2020). Load Balance of Cloud Computing Center Based on Energy Awareness. In: Huang, C., Chan, YW., Yen, N. (eds) Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019). Advances in Intelligent Systems and Computing, vol 1088. Springer, Singapore. https://doi.org/10.1007/978-981-15-1468-5_79
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DOI: https://doi.org/10.1007/978-981-15-1468-5_79
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