Comparative study of Dynamic Load Balancing algorithm in large scale data (Big data)

Abstract

The terminology "Load Balancing" is mostly initiated whenever many process working on pool of many nodes. At the same time we have to deal with large number of data of processes to execute fast and efficiently. Most suitable example of this large scale data is flip cart, Amazon and NASA, BISAG, ISRO like government subsidiaries to consider their job scheduling for large scale of amount. For that time consideration of load balancing of every node is key factor for big data either it is small or large amount of data. And every time we have to consider this load in a dynamic way and have to allocate to any particular node. This is actually load balancing.