Abstract
For the purpose of satisfying the service level agreement of cloud users while at the same time reducing the energy consumption in cloud computing, we analyze the system performance of an energy-saving mechanism with a synchronous sleep mode. Considering the correlation of traffic in cloud computing, the arrival of the data requests is described as a Markovian Arrival Process (MAP), and a MAP/M/N/N+K queue with synchronous multiple-vacations is established to evaluate the energy-saving mechanism. Taking into account the random cloud environment, we construct a state transition rate matrix and analyze the queueing model in the steady state. Accordingly, we derive the energy conservation level and the average latency of tasks to evaluate the energy-saving mechanism. Finally, numerical experiments are provided to illustrate the impact of the sleep parameter on the system performance.
This work was supported in part by National Science Foundations (Nos. 61872311, 61472342) and Natural Science Foundation of Hebei Province (F2017203141), China, and was supported in part by MEXT and JSPS KAKENHI Grant (No. JP17H01825), Japan.
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Yan, X., Jin, S., Yue, W., Takahashi, Y. (2019). A MAP-Based Performance Analysis on an Energy-Saving Mechanism in Cloud Computing. In: Phung-Duc, T., Kasahara, S., Wittevrongel, S. (eds) Queueing Theory and Network Applications. QTNA 2019. Lecture Notes in Computer Science(), vol 11688. Springer, Cham. https://doi.org/10.1007/978-3-030-27181-7_22
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