An Enhanced Load Balancing Algorithm for Cloud Enterprise Resource Planning (ERP) Data in a Multi-Cloud Environment

Abukari, Arnold Mashud and Bankas, Edem Kwedzo and Iddrisu, Mohammed Muniru (2023) An Enhanced Load Balancing Algorithm for Cloud Enterprise Resource Planning (ERP) Data in a Multi-Cloud Environment. Asian Journal of Research in Computer Science, 16 (3). pp. 197-209. ISSN 2581-8260

[thumbnail of Abukari1632023AJRCOS103409.pdf] Text
Abukari1632023AJRCOS103409.pdf - Published Version

Download (898kB)

Abstract

Businesses and individuals have seen the need to adopt the cloud and mulit-cloud environment for their businesses and storage of data. The load balancing concerns especially in the multi-cloud environment was investigated and a new algorithm proposed. In this research, a proposed new load balancing algorithm is presented and compared with the Round Robin (RR) and Weighted Round Robin (WRR) algorithms. The proposed scheduling algorithm considered several Cloud ERP Data chunks to analyse the data transmission rate or throughput, the transmission delay, data loss and the Cloud ERP Data drop ratio. The proposed algorithm performed better compared to the Round Robin (RR) and Weighted Round Robin (WRR) in a multi cloud environment with data chunks above 150 in terms of throughput. The proposed algorithm again outperformed the RR and WRR with a recorded lower transmission delays and lower data loss.

Item Type: Article
Subjects: GO for STM > Computer Science
Depositing User: Unnamed user with email support@goforstm.com
Date Deposited: 25 Sep 2023 12:34
Last Modified: 25 Sep 2023 12:34
URI: http://archive.article4submit.com/id/eprint/1547

Actions (login required)

View Item
View Item