Abstract
We consider a single-server system with energy saving inactive state, non-zero setup, shutoff and hot reserve state. Matrix-analytic method is used to obtain the steady-state performance and average power demand, as well as study the energy-performance tradeoff in explicit way. Numerical results illustrate the model’s properties.
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HP ProBook 450 G8 Notebook PC, c06907888 - DA16756 - Worldwide - Version 18 (2021). https://h20195.www2.hp.com/v2/GetPDF.aspx/c06907888.pdf
Andrae, A.S.G., Edler, T.: On global electricity usage of communication technology: trends to 2030. Challenges 6(1), 1–41 (2015). https://doi.org/10.3390/challe6010117
Basmadjian, R., Niedermeier, F., de Meer, H.: Modelling performance and power consumption of utilisation-based DVFS using M/M/1 queues. In: Proceedings of the Seventh International Conference on Future Energy Systems. e-Energy 2016. Association for Computing Machinery, New York (2016). https://doi.org/10.1145/2934328.2934342
Daraseliya, A.V., Sopin, E.S., Samuylov, A.K., Shorgin, S.Y.: Comparative analysis of the mechanisms for energy efficiency improving in cloud computing systems. In: Galinina, O., Andreev, S., Balandin, S., Koucheryavy, Y. (eds.) NEW2AN/ruSMART -2018. LNCS, vol. 11118, pp. 268–276. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-01168-0_25
Fourneau, J.M.: Modeling green data-centers and jobs balancing with energy packet networks and interrupted poisson energy arrivals. SN Comput. Sci. 1(1), 28 (2020)
Latouche, G., Ramaswami, V.: Introduction to Matrix Analytic Methods in Stochastic Modeling. ASA-SIAM, Philadelphia (1999)
Gandhi, A., Gupta, V., Harchol-Balter, M., Kozuch, M.A.: Optimality analysis of energy-performance trade-off for server farm management. Perform. Eval. 67(11), 1155–1171 (2010)
Gandhi, A., Harchol-Balter, M., Adan, I.: Server farms with setup costs. Perform. Eval. 67(11), 1123–1138 (2010)
Gandhi, A., Harchol-Balter, M., Das, R., Kephart, J.O., Lefurgy, C.: Power cap** via forced idleness. In: Proceedings of Workshop on Energy Efficient Design, pp. 1–6 (2009). http://repository.cmu.edu/compsci/868/
Gebrehiwot, M.E., Aalto, S., Lassila, P.: Energy efficient load balancing in web server clusters. In: 2017 29th International Teletraffic Congress (ITC 29), vol. 3, pp. 13–18 (2017). https://doi.org/10.23919/ITC.2017.8065804
Gillent, F., Latouche, G.: Semi-explicit solutions for M/PH/1-like queuing systems. Eur. J. Oper. Res. 13(2), 151–160 (1983)
Harrison, P.G., Patel, N.M., Knottenbelt, W.J.: Energy-Performance trade-offs via the EP queue. ACM Trans. Model. Perform. Eval. Comput. Syst. 1(2), 1–31 (2016)
He, Q.M.: Fundamentals of Matrix-Analytic Methods. Springer, New York (2014). https://doi.org/10.1007/978-1-4614-7330-5
Kuehn, P.J., Mashaly, M.: DVFS-power management and performance engineering of data center server clusters. In: 2019 15th Annual Conference on Wireless On-demand Network Systems and Services (WONS), pp. 91–98 (2019). https://doi.org/10.23919/WONS.2019.8795470
Lima, J.: Data centres of the world will consume 1/5 of earth’s power by 2025. Technical report, Data Economy (2017). https://www.broad-group.com/data/news/documents/b1m2y6qlx5dv5t
Liu, D., Zhao, Y.Q.: Determination of Explicit Solutions for a General Class of Markov Processes. In: Chakravarthy, S., Alfa, A.S. (eds.) Matrix-Analytic Methods in Stochastic Models, 1 edn, pp. 363–378. CRC Press (1996). https://doi.org/10.1201/b17050-21. https://www.taylorfrancis.com/books/9781482292176/chapters/10.1201/b17050-21
Morozov, E., Rumyantsev, A., Dey, S., Deepak, T.: Performance analysis and stability of multiclass orbit queue with constant retrial rates and balking. Perform. Eval. 134, 102005 (2019)
Neuts, M.F.: Matrix-Geometric Solutions in Stochastic Models: An Algorithmic Approach. Johns Hopkins University Press, Baltimore (1981)
Nguyen, M.H., Gruber, J., Fuchs, J., Marler, W., Hunsaker, A., Hargittai, E.: Changes in digital communication during the COVID-19 global pandemic: implications for digital inequality and future research. Soc. Media Soc. 6(3), 2056305120948255 (2020). https://doi.org/10.1177/2056305120948255
Rumyantsev, A., Basmadjian, R., Golovin, A., Astafiev, S.: A three-level modelling approach for asynchronous speed scaling in high-performance data centres. In: Proceedings of the Twelfth ACM International Conference on Future Energy Systems, e-Energy 2021, pp. 417–423. Association for Computing Machinery, New York (2021). https://doi.org/10.1145/3447555.3466580
Rumyantsev, A., Zueva, P., Kalinina, K., Golovin, A.: Evaluating a single-server queue with asynchronous speed scaling. In: German, R., Hielscher, K.-S., Krieger, U.R. (eds.) MMB 2018. LNCS, vol. 10740, pp. 157–172. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-74947-1_11
Zheng, X., Zhou, S., Jiang, Z., Niu, Z.: Closed-form analysis of non-linear age of information in status updates with an energy harvesting transmitter. IEEE Trans. Wirel. Commun. 18(8), 4129–4142 (2019). https://doi.org/10.1109/TWC.2019.2921372. Place: Piscataway Publisher: Ieee-Inst Electrical Electronics Engineers Inc WOS:000480661000026
Acknowledgements
The publication has been prepared with the support of Russian Science Foundation according to the research project No.21-71-10135 https://rscf.ru/en/project/21-71-10135/. The authors thank the referees for carefully reading the paper and for suggestions which helped to improve the paper.
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Golovin, A., Rumyantsev, A. (2022). Energy Efficiency of a Single-Server with Inactive State by Matrix-Analytic Method. In: Dudin, A., Nazarov, A., Moiseev, A. (eds) Information Technologies and Mathematical Modelling. Queueing Theory and Applications. ITMM 2021. Communications in Computer and Information Science, vol 1605. Springer, Cham. https://doi.org/10.1007/978-3-031-09331-9_14
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