Scalability Metrics and Analysis of Mobile Agent Systems

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.

[1]  Antonio Puliafito,et al.  An analytical comparison of the client-server, remote evaluation and mobile agents paradigms , 1999, Proceedings. First and Third International Symposium on Agent Systems Applications, and Mobile Agents.

[2]  Markus Straßer,et al.  A Performance Model for Mobile Agent Systems , 1997, PDPTA.

[3]  C. Murray Woodside,et al.  Evaluating the Scalability of Distributed Systems , 2000, IEEE Trans. Parallel Distributed Syst..

[4]  Ray Jain,et al.  The art of computer systems performance analysis - techniques for experimental design, measurement, simulation, and modeling , 1991, Wiley professional computing.

[5]  Carlo Ghezzi,et al.  Mobile Code Paradigms and Technologies: A Case Study , 1997, Mobile Agents.