Optimization Load Balancing over Imbalance Datacenter Topology

Various approaches have been proposed for Datacentre to balance the data traffic load recently. Both network topology and the routing approaches can affect the smoothness/quality of the network broadcast. Recently a new system/network architecture called fat-tree becomes one of the trend approach/architecture which is widely used topologies for data centre networks. The routing algorithms such as global load balancing (GLB) and dynamic load balancing (DLB) approaches, are the proposals and both use fat-tree (which are triangular interconnected topologies) topology for the Datacentre using SDN (Software Defined Network) approach. Basically GLB and DLB will be having limited of link information storing and path finding between node edges. So this work proposes an efficient framework dynamic cluster-topology with triangular model and also dynamic sub topology load balancing (DCLB) for fat free to schedule the network flows by taking some IP header path information addition dynamically in data centres networks. The DCLB approach will overcome the existing limitations of both GLB and DLB approaches. This approach not only uses less storage information about the link attributes in the controller, but also choose the path with lowest and neutralized parameters dynamically to have the best routed path and will be updated in the current node in the data centre’s host IP dynamically. Some sub approaches are considered to overcome the load balancing traffic load.