An Investigation of Various Load Balancing Techniques

Abstract

The delivery of resources on demand and a high level of reliability have contributed to newlinethe popularity of cloud computing as an alternative paradigm for information newlinetechnology.This technology has the capacity to provide customers with virtualized, newlinedistributed, and elastic resources in the capacity of a utility. Cloud computing allows for newlinea diverseselection of processing and storage possibilities due to its connectivity to a newlinehuge number of different systems. Load balancing is a significant issue for the newlinetechnology as a whole because of its capacity to process a great deal of data. The newlineobjective of load-balance management is to make the most efficient use of available newlineresources while also efficiently controlling load imbalance. It is essential to guarantee newlinethat the dynamic local workload is distributed in an equal manner among all nodes in newlineorder to achieve a high degree of both user satisfaction and resource utilization. In newlineaddition, proper load balancing cuts down on the use of resources, which in turn leads newlineto a decrease in both energy consumption and emissions of greenhouse gases. newlineResearchers from a broad array of fields have come up with a number of solutions as a newlineresult of the requirement of load balancing in cloud computing systems. The system, in newlineits current iteration, suffers from a number of limitations, the most significant of which newlineare a lack of adaptability and an inability to evaluate aspects such as throughput, newlinecapacity, and the availability of resources. An approach that is based on virtual machine newline(VM) live migration was givenin light of these facts. VM live migration is a technique newlinethat enables a VM to be relocatedfrom one Data Center (DC) to another without any newlineinterruptions in service. newlineIn cloud computing, the quantity of user requests is swiftly distributed across the newlineavailable resources in accordance with a process known as Random Load Balancing. newlineThewaiting time for the request is cut down thanks to the implementation of a random newlinestrategy in this procedure. The Cloud Analyst program is being use