Abstract
Efficient management of resources in a federation of interacting computing servers and devices, for example, in a cloud computing environment, requires a load-balancing system that is self-regulatory and oblivious in nature. Due to the increasing size of data centers and their distribution across the globe, centralized load-balancing approaches suffer significant deficiencies in terms of communication overhead caused by the need to collect state dependent information. The technology of the cloud in its current state runs as many as 200 virtual machines on a single server, which clearly shows the importance of studying distributed load-balancing systems in the cloud. In the present paper, the federation of cloud servers is modeled as a complex network. In a complex network the structure and dynamics of the underlying system are encoded in the network topology itself. A method using random walks on complex networks for discovering free resources in a Cloud Server Network is given. The given method is used to balance the overall load on the network by equalising loads on overloaded and underloaded nodes without the need of a global load balancer. Simulation results are obtained through Network Simulator Version 2, which show that the proposed load-balancing scheme performs well for a large network by uniformly distributing the workload among the servers in polynomial time.
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