An Implementation of Modified Blowfish Technique with Honey Bee Behavior Optimization for Load Balancing in Cloud System Environment

Cloud computing is a system that allows data to be saved in the cloud on virtual worker. Outsiders and machines worker supplier played critical part efficiently storing accessing information. Security, access control, load balancing are challenges engineering. In past, various solutions for adjusting have been proposed. Operator-based burden adjustment calculation surpassed all other offered CPU use, cost, idle time strategies. The productivity of specialist-based computation decreased when any client hubs changed regions. Experimental outcomes show Modified-HBB-LB performs better than existing strategies such as HBB-LB, DLB, FCFS, WRR, HDLB, FIFO by achieving balance complete system. technique reduces number migrations tasks (30%, 25% 20%) compared HBB-LB. proposed maintains 3-5% higher performance levels makespan, completion, response comparative techniques.