An Integer Linear Programming model and Adaptive Genetic Algorithm approach to minimize energy consumption of Cloud computing data centers
Cloud computing infrastructures are designed to support the accessibility and availability of various services to consumers over the Internet. Data centers hosting Cloud applications consume massive amount of power, contributing to high carbon footprints to the environment. Hence, solutions are need...
Saved in:
Main Authors: | Ibrahim, Huda, Aburukba, Raafat O., El-Fakih, Khaled |
---|---|
Format: | Article |
Published: |
Elsevier B.V.
2018
|
Subjects: | |
Online Access: | http://repo.uum.edu.my/25543/ http://doi.org/10.1016/j.compeleceng.2018.02.028 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Hybrid ant genetic algorithm for efficient task scheduling in cloud data centers
by: Ajmal, Muhammad Sohaib, et al.
Published: (2021) -
The optimization of resources allocation to minimize energy consumption within data center in cloud
by: Ayob, Fahrul Hakim, et al.
Published: (2019) -
Resource management in cloud data centers
by: Shabbir, Aisha, et al.
Published: (2018) -
MSG 252 - LINEAR AND INTEGER PROGRAMMING
[PENGATURCARAAN LINEAR DAN INTEGER] JUNE 2015
by: PPSM, Pusat Pengajian Sains Matematik
Published: (2015) -
International center for monitoring cloud computing providers (ICMCCP) for ensuring trusted clouds
by: Mohammed, Mohssen M. Z. E., et al.
Published: (2014)