Title: Cost minimisation technique in geo-distributed data centres

Authors: Ayesheh Ahrari Khalaf; Aisha Hassan Abdalla Hashim

Addresses: Electrical and Computer Engineering Department, Faculty of Engineering, International Islamic University Malaysia, Kuala Lumpur 53100, Malaysia ' Electrical and Computer Engineering Department, Faculty of Engineering, International Islamic University Malaysia, Kuala Lumpur 53100, Malaysia

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.

Keywords: cloud computing; data flow; data placement; geo-distributed data centres; cost minimisation; task assignment.

DOI: 10.1504/IJCAET.2019.102497

International Journal of Computer Aided Engineering and Technology, 2019 Vol.11 No.6, pp.669 - 678

Received: 04 May 2017
Accepted: 31 May 2017
Published online: 30 Sep 2019 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article