A new approach using ants Algorithm to optimize load balancing and prioritization process in-dependent and independent models for the scheduling problem in distributed grid networks

Two fundamental problems in distributed network architecture grid, are Search and optimal timing for detecting the source for proper distribution of requests Scheduling and optimal scheduling is to minimize time and costs. In this paper a new approach to both The process of dividing the dependent and independent processing and load balancing processing is provided. Breastfed of ants algorithm based approach presented and in this graph corresponds to the load balancing ants algorithm may be used for load balancing. The use of this algorithm, another algorithm is used to optimize the timing that The registration schedule for each node in the runtime on each node for this request will take less time. With use a comparison, Can provide estimates for the timing and the estimated timing for a more efficient detection and application processing time, needed to be added. Simulations done, Show that with the algorithms presented Level can significantly increase the efficiency of distribution networks with architectural grid. Keywords-Dependent processing, Independent processing, Load balancing, Distributed networks , Grid