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Load balancing is the process of improving the performance of a parallel and distributed system through a redistribution of load among the processors. So fast and Precise Load balancing is an essential factor in increasing distributed system operation efficiency. But it is a challenging task in large scale distributed system because the global state of distributed systems is always dynamically changed. For high throughput, availability and scalability the distributed system needs efficient load balancing. In this paper we present the analytical comparison of dynamic load balancing algorithm with fuzzy based dynamic load balancing algorithm which is based on an intelligent fuzzy grouping approach. The Fuzzy algorithms are utilize the membership function due to this it have more efficient task migration and task selection policies in comparison to simple dynamic load balancing i.e the load is transfer effectively in less time from one node to another. It also provides considerable improvement in overall performance such as short response times, high throughputs, and short turnaround times.