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New load balancing framework based on mobile AGENT and ant-colony optimization technique

In the intensive computation domain, the applications with high volume of data need strong processing power and considerable storage resources. To reach the required computation power, multiple machines should be associated in order to handle the distributed tasks. However, the heterogeneity of the associated machines is to be considered during the tasks scheduling. In this paper, we propose a new Load balancing framework based on mobile agents and the ant-colony optimization technique. In the proposed model, tasks are distributed parallely to the worker agents using the ant-colony optimization approach to take the right decisions for the scheduling tasks.