Analysis of performance and energy consumption in the cloud

Mehdi Kandi; Farah Aït-Salaht; Hind Castel-Taleb; Emmanuel Hyon

doi:10.1007/978-3-319-66583-2_13

Analysis of performance and energy consumption in the cloud

Mehdi Kandi
, Farah Aït-Salaht
, Hind Castel-Taleb
, Emmanuel Hyon

Université Paris-Saclay
ENSAE
Sorbonne Université
Université Paris-Nanterre

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

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.

Original language	English
Title of host publication	Computer Performance Engineering - 14th European Workshop, EPEW 2017, Proceedings
Editors	Philipp Reinecke, Antinisca Di Marco
Publisher	Springer Verlag
Pages	199-213
Number of pages	15
ISBN (Print)	9783319665825
DOIs	https://doi.org/10.1007/978-3-319-66583-2_13
Publication status	Published - 1 Jan 2017
Externally published	Yes
Event	14th European Workshop on Computer Performance Engineering, EPEW 2017 - Berlin, Germany Duration: 7 Sept 2017 → 8 Sept 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10497 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	14th European Workshop on Computer Performance Engineering, EPEW 2017
Country/Territory	Germany
City	Berlin
Period	7/09/17 → 8/09/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Access to Document

10.1007/978-3-319-66583-2_13

Cite this

Kandi, M., Aït-Salaht, F., Castel-Taleb, H., & Hyon, E. (2017). Analysis of performance and energy consumption in the cloud. In P. Reinecke, & A. Di Marco (Eds.), Computer Performance Engineering - 14th European Workshop, EPEW 2017, Proceedings (pp. 199-213). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10497 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-66583-2_13

Kandi, Mehdi ; Aït-Salaht, Farah ; Castel-Taleb, Hind et al. / Analysis of performance and energy consumption in the cloud. Computer Performance Engineering - 14th European Workshop, EPEW 2017, Proceedings. editor / Philipp Reinecke ; Antinisca Di Marco. Springer Verlag, 2017. pp. 199-213 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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",

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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 P Reinecke & A Di Marco (eds), Computer Performance Engineering - 14th European Workshop, EPEW 2017, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10497 LNCS, Springer Verlag, pp. 199-213, 14th European Workshop on Computer Performance Engineering, EPEW 2017, Berlin, Germany, 7/09/17. https://doi.org/10.1007/978-3-319-66583-2_13

Analysis of performance and energy consumption in the cloud. / Kandi, Mehdi; Aït-Salaht, Farah; Castel-Taleb, Hind et al.
Computer Performance Engineering - 14th European Workshop, EPEW 2017, Proceedings. ed. / Philipp Reinecke; Antinisca Di Marco. Springer Verlag, 2017. p. 199-213 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10497 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Hyon, Emmanuel

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N2 - 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.

AB - 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.

U2 - 10.1007/978-3-319-66583-2_13

DO - 10.1007/978-3-319-66583-2_13

M3 - Conference contribution

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SN - 9783319665825

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Kandi M, Aït-Salaht F, Castel-Taleb H, Hyon E. Analysis of performance and energy consumption in the cloud. In Reinecke P, Di Marco A, editors, Computer Performance Engineering - 14th European Workshop, EPEW 2017, Proceedings. Springer Verlag. 2017. p. 199-213. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-66583-2_13

Analysis of performance and energy consumption in the cloud

Abstract

Publication series

Conference

UN SDGs

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Cite this