Abstract

Active Networking provides a framework in which executable code within data packets can execute upon intermediate network nodes. Active Virtual Network Management Prediction (AVNMP) provides a network prediction service that utilizes the capability of Active Networks to easily inject fine-grained models into the communication network to enhance network performance. The models injected into the network allow state to be predicted and propagated throughout an active network enabling the network to operate simultaneously in real time and in the future. State information such as load, security intrusion, mobile location, faults, and other state information found in typical Management Information Bases (MIB) is available for use by the management system both with current values and with values expected to exist in the future. Implementing a load prediction and CPU prediction application has experimentally validated AVNMP. AVNMP implements a distributed, active, and truly proactive network management system. Active Networking enables the implementation of new concepts utilized in AVNMP such as the ability to quickly and easily inject models into a network. In addition, Active Networking enables the ability of messages to refine their prediction as they travel through the network as well as several enhancements to the basic AVNMP algorithm, including migration of AVNMP components and reduction in overhead by means of message fusion.

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