Abstract
We analyze here a cloud system represented by hysteresis multi server queueing system. It is characterized by forward and backward thresholds for activation and deactivation of block of servers representing a set of VMs (Virtual Machines). The system is represented by a complex Markov Chain which is difficult to analyse when the size of the system is huge. We propose both analytical and numerical mathematical methods for deriving the steady-state probability distribution. We compute then performance and energy consumption measures and we define an overall cost taking into account both aspects. We compare the proposed methods with respect to the computation time and we analyse the impact of some parameters on the behaviour of the system.
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Acknowledgement
This work was supported by grant ANR MARMOTE (ANR-12-MONU-0019).
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Kandi, M., Aït-Salaht, F., Castel-Taleb, H., Hyon, E. (2017). Analysis of Performance and Energy Consumption in the Cloud. In: Reinecke, P., Di Marco, A. (eds) Computer Performance Engineering. EPEW 2017. Lecture Notes in Computer Science(), vol 10497. Springer, Cham. https://doi.org/10.1007/978-3-319-66583-2_13
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DOI: https://doi.org/10.1007/978-3-319-66583-2_13
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