Abstract
Due to the rapid growth of energy costs and increasingly strict environmental standards, energy consumption has become a significant expenditure for the operating and maintaining of a cloud data center. To improve the energy efficiency of cloud data centers, in this paper, we propose an energy-efficient strategy with a speed switch and a multiple-sleep mode. According to current traffic loads, a proportion of Virtual Machines (VMs) operate at a low speed or a high speed, while the remaining VMs either sleep or operate at a high speed. In our strategy, we develop a continuous-time queueing model with an adaptive service rate and a partial synchronous vacation. We construct a two-dimensional Markov chain based on the total number of requests in the system and the state of all the VMs. By using the method of a matrix geometric solution, we mathematically estimate the energy saving level of the system. Numerical experiments with analysis and simulation show that our proposed energy-efficient strategy can effectively reduce the energy consumption on the premise of guaranteeing the Quality of Service of CDCs.
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Acknowledgments
This work was supported by National Natural Science Foundation (No. 61472342) and Hebei Province Natural Science Foundation (No. F2017203141), China.
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Jin, S., Hao, S., Yue, W. (2017). Energy-Efficient Strategy with a Speed Switch and a Multiple-Sleep Mode in Cloud Data Centers. In: Yue, W., Li, QL., Jin, S., Ma, Z. (eds) Queueing Theory and Network Applications. QTNA 2017. Lecture Notes in Computer Science(), vol 10591. Springer, Cham. https://doi.org/10.1007/978-3-319-68520-5_9
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DOI: https://doi.org/10.1007/978-3-319-68520-5_9
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