Abstract
To satisfy the growing need for computing resources, data centers consume a huge amount of power which raises serious concerns regarding the scale of the energy consumption and wastage. One of the important reasons for such energy wastage relates to the redundancies. Redundancies are defined as the backup routing paths and unneeded active ports implemented for the sake of load balancing and fault tolerance. The energy loss may also be caused by the random nature of incoming packets forcing nodes to stay powered on all the times to await for incoming tasks. This paper proposes a re-architecturing of network devices to address energy wastage issue by consolidating the traffic arriving from different interfaces into fewer ports and turning off the idle ones. This paper also proposes to attribute sleeping and active periods to the processing ports to prevent them from remaining active waiting for random arrivals. Finally, we use the vacation queuing theory to model the packets arriving process and calculate the expectation of vacation periods and the energy saved. Then, we strengthen our work with a simulation part that validates the analytical derivations and shows that the proposed mechanism can reduce more than 25% of the energy consumption.
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Openflow (2011). http://archive.openflow.org/
Google green (2017). https://environment.google/
Abts, D., Marty, M.R., Wells, P.M., Klausler, P., Liu, H.: Energy proportional datacenter networks. In: Proceedings of the 37th Annual International Symposium on Computer Architecture, pp. 338–347. ACM (2010)
Adan, I., Resing, J.: Queueing Systems (2015)
Baccour, E., Foufou, S., Hamila, R., Tari, Z.: Achieving energy efficiency in data centers with a performance-guaranteed power aware routing. Comput. Commun. 109, 131–145 (2017)
Baccour, E., Foufou, S., Hamila, R., Hamdi, M.: A survey of wireless data center network. In: Proceedings of CISS-15 International Conference on Information Sciences and Systems March 2015
Bose, S.K.: An Introduction to Queueing Systems. Heidelberg, Springer (2002)
Cheng, C., Li, J., Wang, Y.: An energy-saving task scheduling strategy based on vacation queuing theory in cloud computing. Tsinghua Sci. Technol. 20, 28–39 (2015)
Froom, R., Frahim, E.: Implementing Cisco IP Switched Networks (SWITCH) Foundation Learning Guide: (CCNP SWITCH 300–115). Pearson Education, Indianapolis (2015)
Greenberg, A., Hamilton, J., Maltz, D.A., Patel, P.: The cost of a cloud: research problems in data center networks. SIGCOMM Comput. Commun. 39, 68–73 (2008)
Heller, B., Seetharaman, S., Mahadevan, P., Yiakoumis, Y., Sharma, P., Banerjee, S., McKeown, N.: Elastictree: saving energy in data center networks. In: Proceedings of the 7th USENIX Conference on Networked Systems Design and Implementation, p. 17 (2010)
Schwartz, C., Pries, R., Tran-Gia, P.: A queuing analysis of an energy-saving mechanism in data centers. In: The International Conference on Information Network, pp. 70–75 (2012)
Xia, W., Wen, Y., Foh, C.H., Niyato, D., Xie, H.: A survey on software-defined networking, pp. 27–51 (2015)
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This paper was made possible by NPRP grant 6-718-2-298 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors.
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Baccour, E., Gouissem, A., Foufou, S., Hamila, R., Tari, Z., Zomaya, A.Y. (2018). An Energy Saving Mechanism Based on Vacation Queuing Theory in Data Center Networks. In: Hu, J., Khalil, I., Tari, Z., Wen, S. (eds) Mobile Networks and Management. MONAMI 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 235. Springer, Cham. https://doi.org/10.1007/978-3-319-90775-8_16
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DOI: https://doi.org/10.1007/978-3-319-90775-8_16
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