In this paper, we have analysed load balancing algorithms named as ACO and Genetic optimization, which are used for distribution of workload among the servers. Load balancing is major problem in cloud computing environment. We have proposed Load Balancing Unit which will be responsible to assign incoming tasks to appropriate server based on maximum capacity of each server. The main objective of our paper is to achieve Load balancing among various servers and optimize execution time of tasks. We have analysed performance of these algorithm based on parameters such as execution time, priority, cost and QoS. In ACO algorithm we are able to assign priority to important tasks and execute these tasks according to their priority. Providers must deal with load balancing problem otherwise client will switch for better service from another service provider. We compared these algorithms to get best load balancing solution based on execution time and cost. We try to give better QoS in peak usage hours based on analysis results. © 2016, International Journal of Pharmacy and Technology. All rights reserved.