IIUM Repository

Cost minimisation technique in geo-distributed data centres

Khalaf, Ayesheh Ahrari and Hassan Abdalla Hashim, Aisha (2019) Cost minimisation technique in geo-distributed data centres. International Journal of Computer Aided Engineering and Technology, 11 (6). pp. 669-678. ISSN 1757-2657 (In Press)

[img] PDF (Evidence from publishers' website for MYRA) - Published Version
Restricted to Repository staff only

Download (116kB) | Request a copy
[img]
Preview
PDF (Scopus) - Supplemental Material
Download (203kB) | Preview

Abstract

Significant growth of Big Data leads to a great opportunity for data analysis. Data centres are continuously becoming more popular. At the same time data centres’ cost are increasing as the amount of data is growing. Simply as Big Data is significantly increasing, data centres are facing new challenges. Hence the idea of geo-distributed data centre is introduced. This project investigates on the main challenges that data centres face and presents an enhanced technique for cost optimisation in geographical distributed data centres. Parameters involved such as task assignment, task placement, big data processing and quality of service are analysed. Analytical evaluation results show that joint parameters technique proposed outperformed separate parameter techniques in some cases even with 20% enhancement. Academic Gurobi solver is used for the evaluation.

Item Type: Article (Journal)
Additional Information: 2523/79797
Uncontrolled Keywords: Cloud computing; Cost minimisation; Data flow; Data placement; Geo-distributed data centres; Task assignment
Subjects: T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Prof. Dr. Aisha Hassan Abdalla Hashim
Date Deposited: 24 Jun 2020 15:46
Last Modified: 13 Jan 2021 09:35
URI: http://irep.iium.edu.my/id/eprint/79797

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year