Fault tolerant multiple synchronized parallel load balancing in cloud

Abstract

Cloud computing offers on-demand access to a shared set of resources over the internet at lower cost. The advantage of cloud resources is that it can be easily provisioned, configurable, and managed with minimal management efforts. Proper load balancing is an important task in maintaining fault tolerance and Quality of Service (QoS) in the cloud. A load balancer accepts incoming user requests and distributes this workload across multiple Virtual Machines (VMs) using various methods. In a single load balancer system, if the load balancer is down none of the user tasks can’t be processed, even when the servers are ready to process it. This paper proposes a model that will avoid the single point of failure by using multiple load balancers. In this method, service of one load balancer is borrowed or shared among other load balancers when any correction is needed in the estimation of load. This improves fault tolerance of the cloud eco system and assists in cluster capacity management.