Open AccessAn Improved Rasa for Load Balancing in Cloud Computing
Author(s) -
Oyekanmi Ezekiel Olufunminiyi,
Oladoja Ilobekemen Perpetual,
Omotehinwa Temidayo Oluwatosin
Publication year - 2021
Publication title -
asian journal of research in computer science
Language(s) - English
Resource type - Journals
ISSN - 2581-8260
DOI - 10.9734/ajrcos/2021/v12i430294
Subject(s) - load balancing (electrical power) , computer science , cloud computing , cloudsim , provisioning , virtualization , quality of service , distributed computing , scheduling (production processes) , job shop scheduling , computer network , operating system , routing (electronic design automation) , engineering , operations management , geometry , mathematics , grid
Cloud is specifically known to have difficulty in managing resource usage during task scheduling, this is an innate from distributed computing and virtualization. The common issue in cloud is load balancing management. This issue is more prominent in virtualization technology and it affects cloud providers in term of resource utilization and cost and to the users in term of Quality of Service (QoS). Efficient procedures are therefore necessary to achieve maximum resource utilization at a minimized cost. This study implemented a load balancing scheme called Improved Resource Aware Scheduling Algorithm (I-RASA) for resource provisioning to cloud users on a pay-as-you-go basis using CloudSim 3.0.3 package tool. I-RASA was compared with recent load balancing algorithms and the result shown in performance evaluation section of this paper is better than Max-min and RASA load balancing techniques. However, it sometimes outperforms or on equal balance with Improved Max-Min load balancing technique when using makespan, flow time, throughput, and resource utilization as the performance metrics.