Mersenne twister: a 623-dimensionally equidistributed uniform pseudo-random number generator
ACM Transactions on Modeling and Computer Simulation (TOMACS) - Special issue on uniform random number generation
IEEE Transactions on Software Engineering
Seven good reasons for mobile agents
Communications of the ACM
Programming and Deploying Java Mobile Agents Aglets
Programming and Deploying Java Mobile Agents Aglets
Performance Evaluation of Mobile Agents for E-commerce Applications
HiPC '01 Proceedings of the 8th International Conference on High Performance Computing
Exploiting Code Mobility in Decentralized and Flexible Network Management
MA '97 Proceedings of the First International Workshop on Mobile Agents
Mobile agents in distributed network management
Communications of the ACM - A game experience in every application
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An optimal mobile agent moving policy for a mobile agent network where a single mobile agent moves and collects management information, is studied. The network has one management station that maintains many network elements each of which generates the management information (e.g., the updated state of the element). We formulate this network model as a semi-Markov decision process (SMDP) and compute an optimal policy with a policy iteration algorithm. It is shown that an optimal mobile agent moving policy achieved by the policy iteration algorithm has a cost reduction effect for the network in comparison to a heuristic policy.