A Proficient Approach for Load Balancing in Cloud Computing-Join Minimum Loaded Queue

Abstract

Cloud load balancing is done to persist the services in the cloud environment along with quality of service (QoS) parameters. An efficient load balancing algorithm should be based on better optimization of these QoS parameters which results in efficient scheduling. Most of the load balancing algorithms which exist consider response time or resource utilization constraints but an efficient algorithm must consider both perspectives from the user side and cloud service provider side. This article presents a load balancing strategy that efficiently allocates tasks to virtualized resources to get maximum resource utilization in minimum response time. The proposed approach, join minimum loaded queue (JMLQ), is based on the existing join idle queue (JIQ) model that has been modified by replacing idle servers in the I-queues with servers having one task in execution list. The results of simulation in CloudSim verify that the proposed approach efficiently maximizes resource utilization by reducing the response time in comparison to its other variants.

A distributed quality of service-enabled load balancing approach for cloud environment

“…Join minimum loaded queue (JMLQ) allocates the task to the virtual machine (VM) by avoiding such overheads. The system follows a mechanism in which a task is allocated to a minimum loaded VM by avoiding extra communication overheads (Sharma et al, 2020b(Sharma et al, , 2019a.…”