Open Access

ARTICLE

Cloud Data Center Selection Using a Modified Differential Evolution

Yousef Sanjalawe^1,2, Mohammed Anbar^1,*, Salam Al-E’mari¹, Rosni Abdullah¹, Iznan Hasbullah¹, Mohammed Aladaileh¹

1 National Advanced IPv6 Center (NAv6), Universiti Sains Malaysia, 11800 USM, Penang, Malaysia
2 Computer Science Department, PY Collage, Northern Border University (NBU), 9280 NBU, Ar’ar, Kingdom of Saudi Arabia

* Corresponding Author: Mohammed Anbar. Email:

Computers, Materials & Continua 2021, 69(3), 3179-3204. https://doi.org/10.32604/cmc.2021.018546

Received 12 March 2021; Accepted 13 April 2021; Issue published 24 August 2021

Abstract

The interest in selecting an appropriate cloud data center is exponentially increasing due to the popularity and continuous growth of the cloud computing sector. Cloud data center selection challenges are compounded by ever-increasing users’ requests and the number of data centers required to execute these requests. Cloud service broker policy defines cloud data center’s selection, which is a case of an NP-hard problem that needs a precise solution for an efficient and superior solution. Differential evolution algorithm is a metaheuristic algorithm characterized by its speed and robustness, and it is well suited for selecting an appropriate cloud data center. This paper presents a modified differential evolution algorithm-based cloud service broker policy for the most appropriate data center selection in the cloud computing environment. The differential evolution algorithm is modified using the proposed new mutation technique ensuring enhanced performance and providing an appropriate selection of data centers. The proposed policy’s superiority in selecting the most suitable data center is evaluated using the CloudAnalyst simulator. The results are compared with the state-of-arts cloud service broker policies.

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Citations