Abstract
Load balancing is a method of controlling the traffic in a cloud environment. Cloud applications look for resources for execution. The resources can be storage, processing, bandwidth, etc. Allocation of these resources efficiently to all the competing jobs is called as load balancing. In this paper, we describe load balancing in a public cloud by partitioning the cloud into several sub-clouds. This division of public cloud into several sub-clouds is done based on the geographical location. In this approach we use a central controlling system that monitors all the sub clouds. Here, every sub cloud has a balancer system which monitors the resources in its sub cloud and allocates the available resources to the competing jobs. These balancer systems also communicate with the central controlling system about the status of the respective sub cloud. Based on this information the central controlling system selects the optimal sub cloud.
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