Analysis of Energy Consumption in Cloud Center with Tasks Migrations

Youssef Ait El Mahjoub; Jean Michel Fourneau; Hind Castel-Taleb

doi:10.1007/978-3-030-21952-9_23

Analysis of Energy Consumption in Cloud Center with Tasks Migrations

Youssef Ait El Mahjoub
, Jean Michel Fourneau
, Hind Castel-Taleb

UVSQ
SAMOVAR
CNRS UMR 5157 SAMOVAR

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

4 Citations (Scopus)

Abstract

Reducing the energy consumption of a data center is a major goal inÂ today’s digital world. We consider a cloud system represented by a set of physical servers hosting several Virtual Machines, and each one running tasks. We define a resource management policy that implements task migrations between overused servers to unused servers. The advantage of the policy is to balance the load and reduce the energy consumption. We model the system by a multi-server Jackson network, where each station represents a physical server, and the Virtual Machines are the servers. We derive an analytic formula for the energy consumption of the physical servers. We provide an upper bound of the migration energy for task migrations to reduce energy consumption. Moreover, we optimize the energy consumption, and we compute the migration rate that minimizes energy consumption.

Original language	English
Title of host publication	Computer Networks - 26th International Conference, CN 2019, Proceedings
Editors	Piotr Gaj, Michał Sawicki, Andrzej Kwiecień
Publisher	Springer Verlag
Pages	301-315
Number of pages	15
ISBN (Print)	9783030219512
DOIs	https://doi.org/10.1007/978-3-030-21952-9_23
Publication status	Published - 1 Jan 2019
Externally published	Yes
Event	26th International Conference on Computer Networks, CN 2019 - Kamień Śląski, Poland Duration: 25 Jun 2019 → 27 Jun 2019

Publication series

Name	Communications in Computer and Information Science
Volume	1039
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	26th International Conference on Computer Networks, CN 2019
Country/Territory	Poland
City	Kamień Śląski
Period	25/06/19 → 27/06/19

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Data center
Energy consumption
Jackson network
Optimization

Access to Document

10.1007/978-3-030-21952-9_23

Cite this

Ait El Mahjoub, Y., Fourneau, J. M., & Castel-Taleb, H. (2019). Analysis of Energy Consumption in Cloud Center with Tasks Migrations. In P. Gaj, M. Sawicki, & A. Kwiecień (Eds.), Computer Networks - 26th International Conference, CN 2019, Proceedings (pp. 301-315). (Communications in Computer and Information Science; Vol. 1039). Springer Verlag. https://doi.org/10.1007/978-3-030-21952-9_23

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title = "Analysis of Energy Consumption in Cloud Center with Tasks Migrations",

abstract = "Reducing the energy consumption of a data center is a major goal in{\^A} today{\textquoteright}s digital world. We consider a cloud system represented by a set of physical servers hosting several Virtual Machines, and each one running tasks. We define a resource management policy that implements task migrations between overused servers to unused servers. The advantage of the policy is to balance the load and reduce the energy consumption. We model the system by a multi-server Jackson network, where each station represents a physical server, and the Virtual Machines are the servers. We derive an analytic formula for the energy consumption of the physical servers. We provide an upper bound of the migration energy for task migrations to reduce energy consumption. Moreover, we optimize the energy consumption, and we compute the migration rate that minimizes energy consumption.",

keywords = "Data center, Energy consumption, Jackson network, Optimization",

author = "\{Ait El Mahjoub\}, Youssef and Fourneau, \{Jean Michel\} and Hind Castel-Taleb",

note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; 26th International Conference on Computer Networks, CN 2019 ; Conference date: 25-06-2019 Through 27-06-2019",

year = "2019",

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}

Ait El Mahjoub, Y, Fourneau, JM & Castel-Taleb, H 2019, Analysis of Energy Consumption in Cloud Center with Tasks Migrations. in P Gaj, M Sawicki & A Kwiecień (eds), Computer Networks - 26th International Conference, CN 2019, Proceedings. Communications in Computer and Information Science, vol. 1039, Springer Verlag, pp. 301-315, 26th International Conference on Computer Networks, CN 2019, Kamień Śląski, Poland, 25/06/19. https://doi.org/10.1007/978-3-030-21952-9_23

Analysis of Energy Consumption in Cloud Center with Tasks Migrations. / Ait El Mahjoub, Youssef; Fourneau, Jean Michel; Castel-Taleb, Hind.
Computer Networks - 26th International Conference, CN 2019, Proceedings. ed. / Piotr Gaj; Michał Sawicki; Andrzej Kwiecień. Springer Verlag, 2019. p. 301-315 (Communications in Computer and Information Science; Vol. 1039).

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

TY - GEN

T1 - Analysis of Energy Consumption in Cloud Center with Tasks Migrations

AU - Ait El Mahjoub, Youssef

AU - Fourneau, Jean Michel

AU - Castel-Taleb, Hind

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Reducing the energy consumption of a data center is a major goal inÂ today’s digital world. We consider a cloud system represented by a set of physical servers hosting several Virtual Machines, and each one running tasks. We define a resource management policy that implements task migrations between overused servers to unused servers. The advantage of the policy is to balance the load and reduce the energy consumption. We model the system by a multi-server Jackson network, where each station represents a physical server, and the Virtual Machines are the servers. We derive an analytic formula for the energy consumption of the physical servers. We provide an upper bound of the migration energy for task migrations to reduce energy consumption. Moreover, we optimize the energy consumption, and we compute the migration rate that minimizes energy consumption.

AB - Reducing the energy consumption of a data center is a major goal inÂ today’s digital world. We consider a cloud system represented by a set of physical servers hosting several Virtual Machines, and each one running tasks. We define a resource management policy that implements task migrations between overused servers to unused servers. The advantage of the policy is to balance the load and reduce the energy consumption. We model the system by a multi-server Jackson network, where each station represents a physical server, and the Virtual Machines are the servers. We derive an analytic formula for the energy consumption of the physical servers. We provide an upper bound of the migration energy for task migrations to reduce energy consumption. Moreover, we optimize the energy consumption, and we compute the migration rate that minimizes energy consumption.

KW - Data center

KW - Energy consumption

KW - Jackson network

KW - Optimization

U2 - 10.1007/978-3-030-21952-9_23

DO - 10.1007/978-3-030-21952-9_23

M3 - Conference contribution

AN - SCOPUS:85068110936

SN - 9783030219512

T3 - Communications in Computer and Information Science

SP - 301

EP - 315

BT - Computer Networks - 26th International Conference, CN 2019, Proceedings

A2 - Gaj, Piotr

A2 - Sawicki, Michał

A2 - Kwiecień, Andrzej

PB - Springer Verlag

T2 - 26th International Conference on Computer Networks, CN 2019

Y2 - 25 June 2019 through 27 June 2019

ER -

Analysis of Energy Consumption in Cloud Center with Tasks Migrations

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Fingerprint

Cite this