2001 · 18 citations · 1 references
Artificial IntelligenceCluster ComputingEngineeringDistributed AlgorithmsNetwork AnalysisAutonomous Agent SystemDistributed Ai SystemIntelligent SystemsCentralized AlgorithmDistributed CoordinationSystems EngineeringDistributed Problem SolvingParallel ComputingCombinatorial OptimizationMulti-agent PlanningDistributed AlgorithmMulti-task Multi-agent SystemsScheduling (Computing)Distributed SystemsComputer ScienceTask AllocationUpper BoundMulti-agent SystemsAutomationCloud Computing
We present a centralized and a distributed algorithms for scheduling multi-task agents in heterogeneous networks. Our centralized algorithm has an upper bound on the overall completion time and is used as a module in the distributed algorithm. Extensive simulations show promising results.
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