Evaluating the Scalability of Distributed Systems
IEEE Transactions on Parallel and Distributed Systems
Mobile Code Paradigms and Technologies: A Case Study
MA '97 Proceedings of the First International Workshop on Mobile Agents
An Analytical Comparison of the Client-Server, Remote Evaluation and Mobile Agents Paradigms
ASAMA '99 Proceedings of the First International Symposium on Agent Systems and Applications Third International Symposium on Mobile Agents
Evaluating the Scalability of Distributed Systems
HICSS '98 Proceedings of the Thirty-First Annual Hawaii International Conference on System Sciences-Volume 7 - Volume 7
Mobile-Agent versus Client/Server Performance: Scalability in an Information-Retrieval Task
MA '01 Proceedings of the 5th International Conference on Mobile Agents
Measuring Complexity of Multi-agent Simulations --- An Attempt Using Metrics
Languages, Methodologies and Development Tools for Multi-Agent Systems
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Scalability is a many-sided property which can be captured in a scalability metric that balances cost, volume, timeliness and other attirbutes of value in the system, as a function of its size. Studies of typical metrics can reveal which parts of the agent infrastructure are most critical for scalability. Simple metrics are investigated for systems dominated by agent behaviour. As a system is scaled up, the length of the average tour increases and this has a major effect on performance and scalability limits. Senstivity experiments show that infrastructure improvements can improve scalability but they will not alter the general conclusions.