DOI: https://doi.org/10.59321/BAUETJ.V4I2.14
AUTHOR(S)
Tanjina Jahan1*, Mohammod Abul Kashem1, Md. Toufecul Islam1
ABSTRACT
The platform for cloud computing is also known as an Internet-based computing method where work is done without restrictions. In cloud computing, load-balancing is essential to spread the dynamic workload equally among all devices. In the present situation, load-balancing solutions have to be very efficient in allocating requests and ensuring appropriate hardware and software usage to avoid inadequate resources. It has become a major concern in the context of cloud computing. The goal of this study is to reduce processing and response times by introducing a load-balancing method. We suggest this method to increase the processing time of jobs to ensure it can help optimize the load-handling ability of cloud computing. This method is an enhancement of the throttled method and is called the Advanced Throttled Algorithm (ATA). It compares the output of the proposed algorithm to the throttled and round-robin algorithms. This study will present the results of these three algorithms. The suggested approach spreads the load evenly across virtual machines, as shown by the simulation outcomes. The recommended technique has enhanced the cloud data center’s response and processing times, according to our simulations using the CloudAnalyts simulation tool.