• Dr v s suresh kumar

Efficient allocation of tasks is a crucial process in cloud computing due to the restricted number of resources/virtual machines. IaaS is one of the models of this technology that handles the backend where servers, data centres, and virtual machines are managed. Cloud Service Providers should ensure high service delivery performance in such models, avoiding situations such as hosts being overloaded or under loaded as this will result in higher execution time or machine failure, etc. Task Scheduling highly contributes to load balancing, and scheduling tasks much adheres to the requirements of the Service Level Agreement (SLA), a document offered by cloud developers to users. The improvement of ITA is because of selecting virtual machines in an index table that is available but in order of priority. It helps response times and processing times remain stable, limits the idling resources, and cloud costs are minimized compared to selected algorithms. With cloud computing, new facilities in the information technology (IT) emerge from the convergence of occupational and technology viewpoints which furnish users entrance to IT resources anywhere and anytime by pay-per-use fashion. Consequently, it should source eminent operative gain to the user and instantaneously ought to be beneficial for the cloud service provider Load Balancing is an important aspect of cloud computing environment. Efficient load balancing scheme ensures efficient resource utilization by provisioning of resources to cloud user’s on-demand basis in pay-as-you-say-manner. Load Balancing may even support prioritizing users by applying appropriate scheduling criteria. This paper presents various load balancing schemes in different cloud environment. Efficient load balancing scheme ensures efficient resource utilization by provisioning of resources to cloud user’s on-demand basis in pay-as-you-say-manner. Load Balancing may even support prioritizing users by applying appropriate scheduling criteria.

Cloud computing, load balancing, optimization, QoS, SLA, task scheduling. Cloud Computing, Load Balancing, Distributed computing, Resource Provisioning, Resource Scheduling.

"Optimize Load Balancing using cloud analyst tool for Workflow Scheduling in Data Centres Environment", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.p74-p89, April-2024, Available :http://www.jetir.org/papers/JETIR2404G10.pdf

"Optimize Load Balancing using cloud analyst tool for Workflow Scheduling in Data Centres Environment", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppp74-p89, April-2024, Available at : http://www.jetir.org/papers/JETIR2404G10.pdf