Mobile Agents for Adaptive Routing
HICSS '98 Proceedings of the Thirty-First Annual Hawaii International Conference on System Sciences-Volume 7 - Volume 7
Anthill: A Framework for the Development of Agent-Based Peer-to-Peer Systems
ICDCS '02 Proceedings of the 22 nd International Conference on Distributed Computing Systems (ICDCS'02)
System Support for Dynamic Layout of Distributed Applications
ICDCS '99 Proceedings of the 19th IEEE International Conference on Distributed Computing Systems
Configurable Network Processing for Mobile Agents on the Internet
Cluster Computing
Building and Selecting Mobile Agents for Network Management
Journal of Network and Systems Management
Cell-Locomotion-Based Agent Migration over Distributed Systems
CISIS '07 Proceedings of the First International Conference on Complex, Intelligent and Software Intensive Systems
Messor: load-balancing through a swarm of autonomous agents
AP2PC'02 Proceedings of the 1st international conference on Agents and peer-to-peer computing
Bio-inspired organization for multi-agents on distributed systems
BioADIT'06 Proceedings of the Second international conference on Biologically Inspired Approaches to Advanced Information Technology
Building reusable mobile agents for network management
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Context-aware service composition
UIC'11 Proceedings of the 8th international conference on Ubiquitous intelligence and computing
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This paper presents a general-purpose test-bed platform for implementing and evaluating bio-inspired approaches over real distributed systems. It enables each software agent to be dynamically organized with other agents and deployed at computers according to its own organization and deployment policies. We developed several bio-inspired approaches with the platform to evaluate them over real distributed systems instead of using simulation-based evaluations. In fact, our experiment on an ant-based routing mechanism, which is one of the most typical bio-inspired approaches for distributed systems obtained different results from the results of existing simulation-based experiments. We believe that our platform is useful for bridging the gap between simulation-based approaches and real systems.