IDENTIFYING NETWORK LOAD BALANCING REQUIREMENTS ON HISTORICAL TRAFFIC FLOW USING MACHINE LEARNING APPROACH FOR FLEXIBLE MULTIPATH NETWORKS

Multipath routing uses several paths to distribute traffic from a source to destination. This not only improves network performance but alsoachieves load balancing and fault tolerance. Though multipath routing is not deployed widely in the internet, current systems chooses the pathswith the same lowest cost to the destination and the same administrative distance. In this paper we propose a flexible multipath network wherein multipath routing algorithm is invoked when the quality of service is affected. Ourproposal provides a method to gradually shift from a single path existing network to a reliable multipath network in the future. We have used machine learning approach to identify the instance when network load balancing is required with good results