Abstrakt

Load Balancing in Large Scale Cloud system Using Multiple Load Balancer Technique in the Cloud

S.Ilayanila, Prof.V.Ponkodi

Cloud computing is emerging as a new paradigm of large scale distributed computing. Load balancing is one of the main challenges in cloud computing which required to distributed the dynamic workload across multiple nodes to ensure that no single node is over whelmed. it helps in optimal utilization of resource and hence in enhancing the performance of the system . In complex and large systems, there is a tremendous need for load balancing. For simplifying load balancing globally (e.g. in a cloud), one thing which can be done is, employing techniques would act at the components of the clouds in such a way that the load of the whole cloud is balanced. For this purpose, we are discussing three types of solutions which can be applied to a distributed system: honeybee foraging algorithm, a biased random sampling on a random walk procedure and Active Clustering. the goal of load balancing is to minimize the resource consumption using Multiple load balancer in the Large scale cloud system. to achieves global load balancing through local serve action ,achieves load balancing across all system node using random sampling of the system domain then optimizes the job assignment by connecting similar services by local re-wiring.to perform well as system diversity increase and does not increase throughput as system size increases.