Energy Optimisation in a Cloud Infrastructure Using Ant Colony Optimiser

Ebenezer Owusu; Godwin Banafo Akrong; Justice Kwame Appati; Solomon Mensah

doi:10.1007/978-981-99-0835-6_32

Energy Optimisation in a Cloud Infrastructure Using Ant Colony Optimiser

University of Electronic Science and Technology of China

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

Abstract

Cloud services in a few decades have received considerable attention resulting in the quest for an efficient infrastructure to support the high demands from clients. In meeting clients’ needs, there is also the need to manage the substantial financial cost associated with energy consumption in these data centres. In this study, an ant colony optimiser was proposed to manage cloudlets’ scheduling effectively. Implementing the optimiser in a CloudSim comparatively reveals significant improvement in energy consumption over the first come,-first serve algorithm initially proposed by the authors of CloudSim.

Original language	English
Title of host publication	Lecture Notes on Data Engineering and Communications Technologies
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	445-459
Number of pages	15
DOIs	https://doi.org/10.1007/978-981-99-0835-6_32
Publication status	Published - 2023

Publication series

Name	Lecture Notes on Data Engineering and Communications Technologies
Volume	166
ISSN (Print)	2367-4512
ISSN (Electronic)	2367-4520

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Ant colony optimiser
Cloud computing
CloudSim
Cloudlet
Colony
Energy optimisation
Virtual machine

Access to Document

10.1007/978-981-99-0835-6_32

Cite this

Owusu, E., Akrong, G. B., Appati, J. K., & Mensah, S. (2023). Energy Optimisation in a Cloud Infrastructure Using Ant Colony Optimiser. In Lecture Notes on Data Engineering and Communications Technologies (pp. 445-459). (Lecture Notes on Data Engineering and Communications Technologies; Vol. 166). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-99-0835-6_32

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title = "Energy Optimisation in a Cloud Infrastructure Using Ant Colony Optimiser",

abstract = "Cloud services in a few decades have received considerable attention resulting in the quest for an efficient infrastructure to support the high demands from clients. In meeting clients{\textquoteright} needs, there is also the need to manage the substantial financial cost associated with energy consumption in these data centres. In this study, an ant colony optimiser was proposed to manage cloudlets{\textquoteright} scheduling effectively. Implementing the optimiser in a CloudSim comparatively reveals significant improvement in energy consumption over the first come,-first serve algorithm initially proposed by the authors of CloudSim.",

keywords = "Ant colony optimiser, Cloud computing, CloudSim, Cloudlet, Colony, Energy optimisation, Virtual machine",

author = "Ebenezer Owusu and Akrong, \{Godwin Banafo\} and Appati, \{Justice Kwame\} and Solomon Mensah",

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doi = "10.1007/978-981-99-0835-6\_32",

language = "English",

series = "Lecture Notes on Data Engineering and Communications Technologies",

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Owusu, E, Akrong, GB, Appati, JK & Mensah, S 2023, Energy Optimisation in a Cloud Infrastructure Using Ant Colony Optimiser. in Lecture Notes on Data Engineering and Communications Technologies. Lecture Notes on Data Engineering and Communications Technologies, vol. 166, Springer Science and Business Media Deutschland GmbH, pp. 445-459. https://doi.org/10.1007/978-981-99-0835-6_32

Energy Optimisation in a Cloud Infrastructure Using Ant Colony Optimiser. / Owusu, Ebenezer; Akrong, Godwin Banafo; Appati, Justice Kwame et al.
Lecture Notes on Data Engineering and Communications Technologies. Springer Science and Business Media Deutschland GmbH, 2023. p. 445-459 (Lecture Notes on Data Engineering and Communications Technologies; Vol. 166).

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

TY - CHAP

T1 - Energy Optimisation in a Cloud Infrastructure Using Ant Colony Optimiser

AU - Owusu, Ebenezer

AU - Akrong, Godwin Banafo

AU - Appati, Justice Kwame

AU - Mensah, Solomon

PY - 2023

Y1 - 2023

N2 - Cloud services in a few decades have received considerable attention resulting in the quest for an efficient infrastructure to support the high demands from clients. In meeting clients’ needs, there is also the need to manage the substantial financial cost associated with energy consumption in these data centres. In this study, an ant colony optimiser was proposed to manage cloudlets’ scheduling effectively. Implementing the optimiser in a CloudSim comparatively reveals significant improvement in energy consumption over the first come,-first serve algorithm initially proposed by the authors of CloudSim.

AB - Cloud services in a few decades have received considerable attention resulting in the quest for an efficient infrastructure to support the high demands from clients. In meeting clients’ needs, there is also the need to manage the substantial financial cost associated with energy consumption in these data centres. In this study, an ant colony optimiser was proposed to manage cloudlets’ scheduling effectively. Implementing the optimiser in a CloudSim comparatively reveals significant improvement in energy consumption over the first come,-first serve algorithm initially proposed by the authors of CloudSim.

KW - Ant colony optimiser

KW - Cloud computing

KW - CloudSim

KW - Cloudlet

KW - Colony

KW - Energy optimisation

KW - Virtual machine

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M3 - Chapter

AN - SCOPUS:85160755840

T3 - Lecture Notes on Data Engineering and Communications Technologies

SP - 445

EP - 459

BT - Lecture Notes on Data Engineering and Communications Technologies

PB - Springer Science and Business Media Deutschland GmbH

ER -

Energy Optimisation in a Cloud Infrastructure Using Ant Colony Optimiser

Abstract

Publication series

UN SDGs

Keywords

Access to Document

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