A quantitative comparison of graph-based models for Internet topology
IEEE/ACM Transactions on Networking (TON)
Evaluating the tradeoffs of mobile code design paradigms in network management applications
Proceedings of the 20th international conference on Software engineering
The Jini architecture for network-centric computing
Communications of the ACM
Mobile Agent-Based Management in the INSERTProject
Journal of Network and Systems Management
Evaluation of Constrained Mobility for Programmability in Network Management
DSOM '00 Proceedings of the 11th IFIP/IEEE International Workshop on Distributed Systems: Operations and Management: Services Management in Intelligent Networks
Software Agent Constrained Mobility for Network Performance Monitoring
SMARTNET '00 Proceedings of the IFIP TC6 WG6.7 Sixth International Conference on Intelligence in Networks: Telecommunication Network Intelligence
INFOCOM'96 Proceedings of the Fifteenth annual joint conference of the IEEE computer and communications societies conference on The conference on computer communications - Volume 2
Mobile agents for network management
IEEE Communications Surveys & Tutorials
IEEE Communications Magazine
Delegated agents for network management
IEEE Communications Magazine
A scalable agent-based network measurement infrastructure
IEEE Communications Magazine
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As networks become all-pervasive the importance of efficient information gathering for purposes such as monitoring, fault diagnosis, and performance evaluation can only increase. Extracting information out of large-scale, dynamic networked systems is becoming increasingly difficult. Distributed monitoring systems based on static object technologies such as CORBA and Java-RMI can cope with scalability problems only to a limited extent. They are not well suited to monitoring systems that are both very large and highly dynamic because the monitoring logic, although distributed, is statically pre-determined at design time. The paper presents an active distributed monitoring system based on mobile agents. Agents act as area managers which are not bound to any particular network node and can sense the network, estimate better locations, and migrate in order to pursue location optimality. Simulations demonstrate the capability of this approach to cope with large-scale systems and changing network conditions. The limitations of our approach are also discussed in comparison to more conventional monitoring systems.