A reconfigurable neural environment on active networks

Abstract

This paper proposes the deployment of a neural network computing environment on Active Networks. Active Networks are packet-switched computer networks in which packets can contain code fragments that are executed on the intermediate nodes. This feature allows the injection of small pieces of codes to deal with computer network problems directly into the network core, and the adoption of new computing techniques to solve networking problems. The goal of our project is the adoption of a distributed neural network for approaching tasks which are specific of the computer network environment. Dynamically reconfigurable neural networks are spread on an experimental wide area backbone of active nodes (ABone) to show the feasibility of the proposed approach.

A management architecture for active networks

“…We have realized an experimental testbed of forty active nodes with the aim to investigate the novel paradigm of active networking. The testbed is currently used for the development and testing of innovative protocols and applications: [3], [8], [6], [7]. The experimental laboratory is constituted by a fully connected network of active nodes, which allows us to clip specific topologies according to the research needs.…”