Spider monkey optimization algorithm for load balancing in cloud computing environments

Joint Authors

al-shattnawi, Sawsan
al-Marie, Mohammad

Source

The International Arab Journal of Information Technology

Issue

Vol. 18, Issue 5 (30 Sep. 2021), pp.730-738, 9 p.

Publisher

Zarqa University Deanship of Scientific Research

Publication Date

2021-09-30

Country of Publication

Jordan

No. of Pages

9

Main Subjects

Information Technology and Computer Science

Abstract EN

Scheduling of tasks is one of the main concerns in the Cloud Computing environment.

The whole system performance depends on the used scheduling algorithm.

The scheduling objective is to distribute tasks between the Virtual Machines and balance the load to prevent any virtual machine from being overloaded while other is underloaded.

The problem of scheduling is considered an NP-hard optimization problem.

Therefore, many heuristics have been proposed to solve this problem up to now.

In this paper, we propose a new Spider Monkeys algorithm for load balancing called Spider Monkey Optimization Inspired Load Balancing (SMO-LB) based on mimicking the foraging behavior of Spider Monkeys.

It aims to balance the load among virtual machines to increase the performance by reducing makespan and response time.

Experimental results show that our proposed method reduces tasks' average response time to 10.7 seconds compared to 24.6 and 30.8 seconds for Round Robin and Throttled methods respectively.

Also, the makespan was reduced to 21.5 seconds compared to 35.5 and 53.0 seconds for Round Robin and Throttled methods respectively.

American Psychological Association (APA)

al-shattnawi, Sawsan& al-Marie, Mohammad. 2021. Spider monkey optimization algorithm for load balancing in cloud computing environments. The International Arab Journal of Information Technology،Vol. 18, no. 5, pp.730-738.
https://search.emarefa.net/detail/BIM-1431122

Modern Language Association (MLA)

al-shattnawi, Sawsan& al-Marie, Mohammad. Spider monkey optimization algorithm for load balancing in cloud computing environments. The International Arab Journal of Information Technology Vol. 18, no. 5 (Sep. 2021), pp.730-738.
https://search.emarefa.net/detail/BIM-1431122

American Medical Association (AMA)

al-shattnawi, Sawsan& al-Marie, Mohammad. Spider monkey optimization algorithm for load balancing in cloud computing environments. The International Arab Journal of Information Technology. 2021. Vol. 18, no. 5, pp.730-738.
https://search.emarefa.net/detail/BIM-1431122

Data Type

Journal Articles

Language

English

Notes

Text in English ; abstracts in .

Record ID

BIM-1431122