@inproceedings{f7830b3c4aee4eaebf5cfba7b68abc00,
title = "Analysis of performance and energy consumption in the cloud",
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.",
author = "Mehdi Kandi and Farah A{\"i}t-Salaht and Hind Castel-Taleb and Emmanuel Hyon",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 14th European Workshop on Computer Performance Engineering, EPEW 2017 ; Conference date: 07-09-2017 Through 08-09-2017",
year = "2017",
month = jan,
day = "1",
doi = "10.1007/978-3-319-66583-2\_13",
language = "English",
isbn = "9783319665825",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "199--213",
editor = "Philipp Reinecke and \{Di Marco\}, Antinisca",
booktitle = "Computer Performance Engineering - 14th European Workshop, EPEW 2017, Proceedings",
}
