Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Proceedings of the 35th conference on Winter simulation: driving innovation
Mesh-Mon: A multi-radio mesh monitoring and management system
Computer Communications
Hybrid testbeds for QoS management in opaque MANETS
Proceedings of the 4th Annual International Conference on Wireless Internet
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
Enabling distributed management for dynamic airborne network
POLICY'09 Proceedings of the 10th IEEE international conference on Policies for distributed systems and networks
A virtual ad hoc network testbed
International Journal of Communication Networks and Distributed Systems
Integrated network experimentation for QoS measurements in opaque MANETs
International Journal of Network Management
Security analysis of the bootstrap protocol for deny-by-default mobile ad-hoc networks
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
Towards automation of management and planning for future military tactical networks
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Policy Management for Secure Data Access Control in Vehicular Networks
Journal of Network and Systems Management
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DRAMA[1] is a distributed policy-based management system designed to manage Mobile Ad hoc NETworks (MANETs). Its design philosophy is to create intelligent, self-adaptive policy agents to manage dynamic networks without human intervention. Network management functions are performed in a distributed fashion by these policy agents, rather than being controlled by a centralized management station. Policies are used to control the frequency and content of network management messages exchanged among policy agents in a way that reduces bandwidth usage and increases the utility of management messages. This greatly enhances management efficiency and reduces the bandwidth overhead required for network management. As with any new technology, there is a question about the scalability of this approach. The purpose of the work described in this paper is to study whether the DRAMA policy-based network management system can scale to networks of 500+ nodes. The study uses a novel simulation-based approach to evaluate DRAMA performance when DRAMA is used to manage MANETs of up to 500 nodes. The results confirm that the DRAMA distributed policy-based management paradigm provides superior performance over a centralized management paradigm for MANETs.