Abstract
In data centers, there are a huge number of servers which consume a large amount of energy. Reducing a few percent of the power consumption leads to saving a large amount of money and also saving our environment. In the current technology, an idle server still consumes about 60% of its peak and thus a simple way to save energy is shutdown of idle servers. However, when the workload increases, we have to turn on the OFF servers. A server needs some setup time to be active during which the server consumes energy but cannot process any job. Furthermore, a waiting job may abandon without service after a long waiting time which may be incurred by setup times. In this paper, we consider the power saving and the performance trade-off in data centers through a multiserver queueing model with setup time and impatient customers. We formulate the system by a level-dependent QBD process obtaining the stationary distribution and some performance measures. Our numerical results provide various insights into the performance of the system.
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Phung-Duc, T. (2014). Impatient Customers in Power-Saving Data Centers. In: Sericola, B., Telek, M., Horváth, G. (eds) Analytical and Stochastic Modeling Techniques and Applications. ASMTA 2014. Lecture Notes in Computer Science, vol 8499. Springer, Cham. https://doi.org/10.1007/978-3-319-08219-6_13
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DOI: https://doi.org/10.1007/978-3-319-08219-6_13
Publisher Name: Springer, Cham
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