The centralized system approach for computer and telecommunication network management has been presenting scalability problems along with the growth in the number and diversity of equipments being managed. Moreover, the increase in complexity of the services being offered through the networks also contributes for adding extra workload to the management station. The amount of data that must be handled and processed by only one administration point can lead us into a situation where we won't have enough processing and storage power to carry out an efficient job. In this work we present an alternative approach by creating a highly distribute computing environment through the use of grids of autonomous agent to analyze large amounts of data, which reduce the processing costs by optimizing the load distribution and resources utilization.