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
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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 |
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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 |