Creating Elasticity with Enhanced Weighted Optimization Load Balancing Algorithm in Cloud Computing
Neha Tyagi, Ajay Rana, Vineet Kansal · 2019
This paper embraces an arrangement of rules for load balancing to improvise the general execution along with viability in assorted environment of cloud computing. The paper advocates a combination set of rules in light of priority and batch rules, taking points of interest of weighted optimization algorithm and similarly spread current execution algorithms.These algorithm reflects the records of current resource and the capability issue of Central Processing Unit to acquire the targets. Cloud Analyst simulator has been used to evaluate and compare the fused algorithm with different algorithms. The results demonstrated progress in migration time, reaction time and scalability, availability & reliability of resources with energy-consumption and throughput via considering the modern-day aid records and the Central Processing Unit potential factor in comparison with different algorithms.