Distributed fault location in networks using mobile agents
IATA '98 Proceedings of the second international workshop on Intelligent agents for telecommunication applications
On the Performance and Scalability of Decentralized Monitoring Using Mobile Agents
DSOM '99 Proceedings of the 10th IFIP/IEEE International Workshop on Distributed Systems: Operations and Management: Active Technologies for Network and Service Management
Advanced Network Management Functionalities through the Use of Mobile Software Agents
IATA '99 Proceedings of the Third International Workshop on Intelligent Agents for Telecommunication Applications
Using Mobile Agents for Distributed Network Performance Management
IATA '99 Proceedings of the Third International Workshop on Intelligent Agents for Telecommunication Applications
Mobile Objects and Mobile Agents: The Future of Distributed Computing?
ECCOP '98 Proceedings of the 12th European Conference on Object-Oriented Programming
Mobile agents for network management
IEEE Communications Surveys & Tutorials
Delegated agents for network management
IEEE Communications Magazine
Mobile software agents: an overview
IEEE Communications Magazine
Advanced network monitoring applications based on mobile/intelligent agent technology
Computer Communications
Adaptive Clustering Using Mobile Agents in Wireless Ad-Hoc Networks
IDMS '01 Proceedings of the 8th International Workshop on Interactive Distributed Multimedia Systems
Mobile Agent Distribution in a Game-Theoretic Approach
MATA '02 Proceedings of the 4th International Workshop on Mobile Agents for Telecommunication Applications
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Today's network management systems suffer from scalability problems and involve the transmission of large amounts of raw data towards the centralized network management station. Therefore mobile agent (MA) based solutions were presented to enhance the efficiency of network management tasks. The paper investigates the existing MA delegation schemes and migration policies, and proposes a solution for effective agent deployment using dynamic agent domains. The size of the domains is altered during the trading process, where agents exchange nodes in order to equalize their workload using a lightweight communication model. Cloning and merging operations can be initiated to modify the number of agents, providing adaptivity to changing network conditions. The presented method includes the population and load control for network management agents along with robustness and fault tolerance mechanisms to achieve a guaranteed visiting frequency for the managed hosts.