Integrating Mobile Agents and Neural Networks for Proactive Management
Klaus Herrmann, Kurt Geihs · Kluwer Academic Publishers eBooks · 2005
The management of modern computer networks and distributed systems comprises big challenges due to the complexity of nowadays network environments. It requires a decentralized approach in order to be efficient, effective, scalable, and flexible. Moreover, it has to be proactive since identifying and preventing problems before they affect users becomes increasingly important. Several research projects have identified mobile agents as a possible solution for decentralized management, while others have used neural networks to make predictions and achieve proactiveness. We propose a management system which integrates both technologies to achieve proactiveness in a decentralized fashion. The result is a distributed management system that employs intelligent mobile components. This paper discusses our approach and presents the design and implementation of a prototype application that puts the proposed ideas to practice.