A Parallel Fuzzy Load Balancing Algorithm for Distributed Nodes Over a Cloud System

Cloud computing is an IT organization concept that places the internet at the heart of business activity, allowing it to use hardware resources. In recent years, load balancing has been an active area of research and has played a very important role in the case of the cloud environment. There is a wide range of improvements in this arena. In this paper, the authors propose a new load balancing algorithm, based on the weights of the nearest servers in the cloud platform. They use the fuzzy logic to represent the weight of the different nodes. Moreover, they implement separate requests in parallel and use a token to dispatch tasks efficiently. The several scenarios in this paper are considered for experimentation and compare the result of existing round robin, throttled load balancing, equal spread load, and proposed algorithm. The experiment results show that this approach improves the load balancing process effectively in terms of overall response time, data center processing time, total virtual machine cost, and total data transfer cost.