Efficient Hybrid Load Balancing In Cloud Environment Using Dragonfly-Raven Roosting Algorithm
Keywords:
Cloud computing, Load balancing, Task scheduling, Make span, Dragonfly Algorithm (DFA), Raven Roosting Algorithm (RRA)Abstract
Cloud computing is the most emerging computing and is the interconnection of computers with servers the different major issues that arise in this computing are load balancing, fault tolerance and security. In load balancing technique the tasks are equally distributed among the servers or nodes. Task Scheduling assigns the different users tasks to the Virtual Machines for achieving different QoS parameters. In this paper, the Raven Roosting algorithm is combined with Dragonfly algorithm for improving the load between the computers and servers. This proposed algorithm minimizes the make span of the cloud system. I have compared our results with the Dragonfly algorithm and Raven Roosting based algorithm. The experimental result indicates that the DF-RRA based technique performs better in terms of load balancing and having a reduced make span. This proposed algorithm performs higher than the Raven Roosting algorithm and Dragonfly algorithm.
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