A new throttled adapted load balancing strategy for dynamic VM allocations in cloud datacentres Online publication date: Thu, 04-Jul-2024
by S. Shanmugapriya; N. Priya
International Journal of Cloud Computing (IJCC), Vol. 13, No. 3, 2024
Abstract: Infrastructure as a service is a crucial service offered by cloud computing (CC) that delivers on-demand virtual machines (VMs). As the cloud is growing continuously and millions of users are requesting the IaaS cloud simultaneously for accomplishing their tasks, scheduling the VM resources is one of the major challenges. Highly faced improper allocation of VMs leads to server overloading, low resource utilisation, and maximises the loads response time (RT). These issues can be resolved with the load balancing (LB) strategy by selecting the suitable VM grounded on the changing needs. In this study, we enhanced the existing throttled load balancing (TLB) strategy and proposed a new throttled adapted load balancing (TALB) approach, with the main goals of decreasing the VM's searching time (ST) and RT, datacentre processing time (DPT), cost, and workload balancing among VMs. The TALB algorithm is evaluated using the CloudAnalyst simulation tool with the existing RR, ESCE, and TLB algorithms.
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