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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Cheng, C., Li, J., Wang, Y.: An energy-saving task scheduling strategy based on vacation queueing theory in cloud computing. Tsinghua Sci. Technol. 20(1), 28–39 (2015)
Chen, Y., Chang, M., Liang, W., Lee, C.: Performance and energy efficient dynamic voltage and frequency scaling scheme for multicore embedded system. In: IEEE 6th International Conference on Consumer and Electronics, pp. 58–59 (2016)
Shen, Y., Bao, Z., Qin, X., Shen, J.: Adaptive task scheduling strategy in cloud: when energy consumption meets performance guarantee. World Wide Web-Internet Web Inf. Syst. 20(2), 1–19 (2017)
Kempa, W.: Time-dependent analysis of transmission process in a wireless sensor network with energy saving mechanism based on threshold waking up. In: IEEE International Workshop on Signal Processing Advances in Wireless Communications, pp. 26–30 (2015)
Lawanyashri, M., Balusamy, B., Subha, S.: Threshold-based workload control for an under-utilized virtual machine in cloud computing. Int. J. Intell. Eng. Syst. 9(4), 234–241 (2016)
Singh, D., Devgan, M.: Multilayer hybrid energy efficient approach in green cloud computing. Int. J. Sci. Res. Dev. 4(10), 814–818 (2016)
Yue, D., Yu, J., Yue, W.: A markovian queue with two heterogeneous servers and multiple vacations. J. Ind. Manag. Optim. 5(3), 453–465 (2017)
Jin, S., Hao, S., Yue, W.: Energy-efficient strategy with a speed switch and a multiple-sleep mode in cloud data centers. In: International Conference on Queueing Theory & Network Applications, pp. 143–154 (2017)
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.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-319-93736-6_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-93735-9
Online ISBN: 978-3-319-93736-6
eBook Packages: Computer ScienceComputer Science (R0)