Abstract
For the purpose of satisfying the response performance of cloud users while reducing the energy consumption in cloud computing, we propose a task scheduling strategy with a sleep-delay timer and a waking-up threshold. According to the stochastic behavior of tasks with the proposed strategy, we establish a synchronous vacation queueing model with vacation-delay and N-policy. Then we derive the average sojourn time of tasks and the energy conservation level of the system in a steady state. Finally, we provide numerical experiments to investigate the impacts of system parameters on performance criteria.
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Acknowledgements
This work was supported in part by National Natural Science Foundation (No. 61472342), Hebei Province Natural Science Foundation (No. F2017203141), China, and was supported in part by MEXT, Japan.
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Jin, S., Wang, X., Yue, W. (2018). A Task Scheduling Strategy with a Sleep-Delay Timer and a Waking-Up Threshold in Cloud Computing. In: Takahashi, Y., Phung-Duc, T., Wittevrongel, S., Yue, W. (eds) Queueing Theory and Network Applications. QTNA 2018. Lecture Notes in Computer Science(), vol 10932. Springer, Cham. https://doi.org/10.1007/978-3-319-93736-6_8
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DOI: https://doi.org/10.1007/978-3-319-93736-6_8
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