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A MAP-Based Performance Analysis on an Energy-Saving Mechanism in Cloud Computing

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Queueing Theory and Network Applications (QTNA 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11688))

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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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References

  1. Mastelić, T., Brandić, I.: Recent trends in energy-efficient cloud computing. IEEE Cloud Comput. 2(1), 40–47 (2015)

    Article  Google Scholar 

  2. Publications Office of the European Union. https://doi.org/10.2760/358256. Accessed 17 Mar 2019

  3. Jing, S., Ali, S., She, K., Zhong, Y.: State-of-the-art research study for green cloud computing. J. Supercomput. 65(1), 445–468 (2013)

    Article  Google Scholar 

  4. Khazaei, H., Mišić, J., Mišić, V.B.: Performance analysis of cloud computing centers. In: Zhang, X., Qiao, D. (eds.) QShine 2010. LNICST, vol. 74, pp. 251–264. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-29222-4_18

    Chapter  Google Scholar 

  5. Vilaplana, J., Solsona, F., Teixidó, I., Mateo, J., Abella, F., Rius, J.: A queuing theory model for cloud computing. J. Supercomput. 69(1), 492–507 (2014)

    Article  Google Scholar 

  6. Cheng, C., Li, J., Wang, Y.: An energy-saving task scheduling strategy based on vacation queuing theory in cloud computing. Tsinghua Sci. Technol. 20(1), 28–39 (2015)

    Article  MathSciNet  Google Scholar 

  7. Jin, S., Wang, X., Yue, W.: 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.) QTNA 2018. LNCS, vol. 10932, pp. 115–123. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-93736-6_8

    Chapter  Google Scholar 

  8. Jin, S., Wu, H., Yue, W.: Pricing policy for a cloud registration service with a novel cloud architecture. Cluster Comput. 22(1), 271–283 (2019)

    Article  Google Scholar 

  9. Li, Q., Zhao, Y.: A MAP/G/1 queue with negative customers. Queueing Syst. 47(1–2), 5–43 (2004)

    Article  MathSciNet  Google Scholar 

  10. Choi, B.D., Kim, B., Zhu, D.: MAP/M/\(c\) queue with constant impatient time. Math. Oper. Res. 29(2), 309–325 (2004)

    Article  MathSciNet  Google Scholar 

  11. Zhou, Z., Zhou, Z.: A MAP/M/\(N\) retrial queueing model with asynchronous single vacations. In: 2018 International Conference on Virtual Reality and Intelligent Systems, Changsha, pp. 245–249. IEEE (2018)

    Google Scholar 

  12. Dudina, O., Dudin, S.: Queueing system MAP/M/N/N+K operating in random environment as a model of call center. In: Dudin, A., Klimenok, V., Tsarenkov, G., Dudin, S. (eds.) BWWQT 2013. CCIS, vol. 356, pp. 83–92. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-35980-4_10

    Chapter  MATH  Google Scholar 

  13. Jin, S., Hao, S., Yue, W.: Energy-efficient strategy with a speed switch and a multiple-sleep mode in cloud data centers. In: Yue, W., Li, Q.-L., Jin, S., Ma, Z. (eds.) QTNA 2017. LNCS, vol. 10591, pp. 143–154. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-68520-5_9

    Chapter  Google Scholar 

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Author information

Authors and Affiliations

  1. School of Information Science and Engineering, Yanshan University, Qinhuangdao, 066004, China

    Xuena Yan & Shunfu Jin

  2. Langfang Yanjing Vocational Technical College, Langfang, 065200, China

    Xuena Yan

  3. Department of Intelligence and Informatics, Konan University, Kobe, 658-8501, Japan

    Wuyi Yue

  4. Graduate School of Informatics, Kyoto University, Kyoto, 606-8501, Japan

    Yutaka Takahashi

Authors
  1. Xuena Yan
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  2. Shunfu Jin
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  3. Wuyi Yue
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  4. Yutaka Takahashi
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Corresponding author

Correspondence to Shunfu Jin .

Editor information

Editors and Affiliations

  1. University of Tsukuba, Tsukuba, Japan

    Tuan Phung-Duc

  2. Nara Institute of Science and Technology, Nara, Japan

    Shoji Kasahara

  3. Ghent University, Ghent, Belgium

    Sabine Wittevrongel

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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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  • DOI: https://doi.org/10.1007/978-3-030-27181-7_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-27180-0

  • Online ISBN: 978-3-030-27181-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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