Title :
Smoothed perturbation analysis estimates for stationary multi-class queues
Author_Institution :
Div. of Appl. Syst. Sci., Kyoto Univ., Japan
Abstract :
Recently, Konstantopoulos and Zazanis and Bremaud and Lasgouttes derive the infinitesimal perturbation analysis estimator for the stationary and ergodic G/G/1 queue using Palm calculus, where neither regenerative structure nor convex property are required and the strong consistency is ensured by ergodic theorem. This work has been motivated by them and derives the smoothed perturbation analysis (SPA) estimator on the stationary and ergodic framework. We deal with multi-class queues in this paper but our key formula is expected to be useful to the systems to which the SPA is applicable
Keywords :
convergence of numerical methods; estimation theory; perturbation techniques; queueing theory; G/G/1 queue; Palm calculus; ergodic theorem; infinitesimal perturbation analysis; smoothed perturbation analysis; stationary multi-class queues; strong consistency; Calculus; Convergence; Distribution functions; H infinity control; Performance analysis; Queueing analysis; Random variables; Steady-state; Stochastic systems;
Conference_Titel :
Decision and Control, 1995., Proceedings of the 34th IEEE Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-2685-7
DOI :
10.1109/CDC.1995.478502