• Ms. Aarti Jaiswal
• Ms.Trapti Sharma

Cloud Computing centralizes parallel registration, appropriated figuring, and framework processing. Safe, fast, and profitable information storage and processing are given online. Public administrations utilize a pay-per-use-on-request basis. Using Cloud-based assets reduces costs and improves demand response time. Increasing asset utilization via effective load adjustment is crucial. The purpose is to build and execute an Optimized Load Adjustment computation in an IaaS virtual Cloud system that predicts virtual Cloud asset utilization. It uses Cloud assets efficiently, differentiating between virtual Cloud assets that must be acceptable for each application and physical Cloud assets that do not. The web application uses several modules. The assignments for these modules are forwarded to the load adjustment server. Proposed priority weighted round robin algorithm a load balancer system design and virtual machine allocation mechanism for a scientific associated Cloud. We tested the approach on an associated scientific Cloud. The recommended method improves resource usage and reduces energy use, according to testing.

CPU, CC, Load sharing, SaaS, PaaS, IaaS, priority weighted round robin algorithm.

"The Hybrid Approach to Load Balancing in Cloud Computing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 12, page no.a250-a255, December-2022, Available :http://www.jetir.org/papers/JETIR2212031.pdf

"The Hybrid Approach to Load Balancing in Cloud Computing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 12, page no. ppa250-a255, December-2022, Available at : http://www.jetir.org/papers/JETIR2212031.pdf