Journal article Open Access

Dynamic Load Balancer for Traffic Management in Cloud Environment

Prithi S; Roxanna Samuel; Ponmani S; J.Jinu Sophia

Sponsor(s)
Blue Eyes Intelligence Engineering and Sciences Publication(BEIESP)

The Cloud traffic is the major issue faced by users’ every day. Users are not able to access the files at the desired time due to the delay, caused by traffic. Traffic is induced when many users access the same network at a given point of time. This paper aims to reduce the cloud traffic by allowing the user to enter the datacenter for quick access of files with maximum capacity left instead of entering the datacenter in sequential order as in existing systems. The foremost key and challenging problem for handling big data centers in clouds are to balance the Load while flow scheduling since a huge amount of data are transferred at regular intervals throughout a thousand of customers and clients. With a rapid growth in applications, capability of utilizing the data centers has become a challenging task to cloud service, particularly during the peak time usage of data centers and when the requests of user’s are unbalanced and when there are amount of demands need to be handled. In this project, Software Defined Network (SDN) controller is applied to improvise the utilization of bandwidth of Dynamic Circuit Network (DCN) as well as reduce the delay that occurs for end users. This project presents the Genetic load balancing algorithm to provide the provider with a high utilization of bandwidth and to low the end-users dealy.

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