Title :
Feedback regulation for sequencing and routing in multiclass queueing networks
Author_Institution :
Coordinated Sci. Lab., Urbana, IL, USA
Abstract :
This paper establishes new criteria for stability and for instability of multiclass network models under a given sequencing or routing policy. It also extends previous results on the approximation of the solution to the average cost optimality equations through an associated fluid model. It is shown that an optimized network possesses a fluid limit model which is itself optimal with respect to a total cost criterion
Keywords :
feedback; optimisation; queueing theory; stability; telecommunication network routing; Brownian motion approximation; Markov decision process; approximation; average cost optimality equations; feedback regulation; fluid limit model; fluid model; multiclass network models; multiclass queueing networks; network model instability; network model stability; optimized network; routing; sequencing; total cost criterion; Cost function; Electronic mail; Equations; Feedback; Intelligent networks; Optimal control; Routing; Stability criteria; State-space methods; Stochastic processes;
Conference_Titel :
Information Theory, 2000. Proceedings. IEEE International Symposium on
Conference_Location :
Sorrento
Print_ISBN :
0-7803-5857-0
DOI :
10.1109/ISIT.2000.866367
