Title :
Distributed dynamic programming
Author_Institution :
Massachusetts Institute of Technology, Cambridge, Massachusetts
Abstract :
We consider distributed algorithms for solving dynamic programming problems whereby several processors participate simultaneously in the computation while maintaining coordination by information exchange via communication links. A model of asynchronous distributed computation is developed which requires very weak assumptions on the ordering of computations, the timing of information exchange, the amount of local information needed at each computation node, and the initial conditions for the algorithm. The class of problems considered is very broad and includes shortest path problems, and finite and infinite horizon stochastic optimal control problems. When specialized to a shortest path problem the algorithm reduces to the algorithm originally implemented for routing of messages in the ARPANET.
Keywords :
ARPANET; Distributed algorithms; Distributed computing; Dynamic programming; Infinite horizon; Optimal control; Routing; Shortest path problem; Stochastic processes; Timing;
Conference_Titel :
Decision and Control including the Symposium on Adaptive Processes, 1981 20th IEEE Conference on
Conference_Location :
San Diego, CA, USA
DOI :
10.1109/CDC.1981.269319