Scalable and autonomic management to computer networks

Abstract

This work aims at designing a solution for network autonomic management that provides, among other things, a feature of scalability in the verification of new network solutions with a case study on the flow allocation. To do so, we developed a self-managed framework to be used in several scalable scenarios, which were generated through the conception of a strategy of network partitioning (Network Partitioning Computing Engine or NPCE). NPCE simultaneously considers a set of specified requirements as quality of service parameters and execution time in the search for new configurations. Results demonstrate autonomic solution feasibility through tests in scenarios with different topologies, traffic profiles and with applying random failures.