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

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

2 Citations (Scopus)

Résumé

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.

langue originale	Anglais
titre	Computer Performance Engineering - 14th European Workshop, EPEW 2017, Proceedings
rédacteurs en chef	Philipp Reinecke, Antinisca Di Marco
Editeur	Springer Verlag
Pages	199-213
Nombre de pages	15
ISBN (imprimé)	9783319665825
Les DOIs	https://doi.org/10.1007/978-3-319-66583-2_13
état	Publié - 1 janv. 2017
Modification externe	Oui
Evénement	14th European Workshop on Computer Performance Engineering, EPEW 2017 - Berlin, Allemagne Durée: 7 sept. 2017 → 8 sept. 2017

Série de publications

Nom	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10497 LNCS
ISSN (imprimé)	0302-9743
ISSN (Electronique)	1611-3349

Une conférence

Une conférence	14th European Workshop on Computer Performance Engineering, EPEW 2017
Pays/Territoire	Allemagne
La ville	Berlin
période	7/09/17 → 8/09/17

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Accès au document

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

Contient cette citation

Kandi, M., Aït-Salaht, F., Castel-Taleb, H., & Hyon, E. (2017). Analysis of performance and energy consumption in the cloud. Dans P. Reinecke, & A. Di Marco (eds.), Computer Performance Engineering - 14th European Workshop, EPEW 2017, Proceedings (p. 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. Editeur / 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)).

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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.",

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Kandi, M, Aït-Salaht, F, Castel-Taleb, H & Hyon, E 2017, Analysis of performance and energy consumption in the cloud. Dans 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, p. 199-213, 14th European Workshop on Computer Performance Engineering, EPEW 2017, Berlin, Allemagne, 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).

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

TY - GEN

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AU - Kandi, Mehdi

AU - Aït-Salaht, Farah

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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

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AN - SCOPUS:85029412149

SN - 9783319665825

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

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BT - Computer Performance Engineering - 14th European Workshop, EPEW 2017, Proceedings

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Kandi M, Aït-Salaht F, Castel-Taleb H, Hyon E. Analysis of performance and energy consumption in the cloud. Dans Reinecke P, Di Marco A, rédacteurs en chef, 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

Résumé

Série de publications

Une conférence

SDG des Nations Unies

Accès au document

Empreinte digitale

Contient cette citation