NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
Smoothed perturbation analysis algorithms for estimating the derivatives of occupancy-related functions in serial queueing networksThe authors present smoothed perturbation analysis (SPA) estimators for the derivative of a number of occupancy-related functions in serial queuing networks with finite buffer spaces. The functions are the average number of customers at a network as seen by an arrival, the probability that a customer is blocked at a particular queue, and the probability that a customer leaves a queue empty. In all three cases, the variable is a parameter of the distribution of service times at one of the queues. The derivative estimators considered are very simple and flexible, and they easily lend themselves to analysis of unbiasedness. Unlike most of the established SPA estimators, the present ones are not based on the computation of hazard rates.
Document ID
19930029079
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Wardi, Y.
(Georgia Inst. of Technology Atlanta, United States)
Gong, W.-B.
(NASA Ames Research Center Moffett Field, CA, United States)
Cassandras, C. G.
(NASA Ames Research Center Moffett Field, CA, United States)
Kallmes, M. H.
(Massachusetts Univ. Amherst, United States)
Date Acquired
August 15, 2013
Publication Date
January 1, 1991
Publication Information
Publication: In: IEEE Conference on Decision and Control, 30th, Brighton, United Kingdom, Dec. 11-13, 1991, Proceedings. Vol. 2 (A93-13001 02-63)
Publisher: Institute of Electrical and Electronics Engineers, Inc.
Subject Category
Cybernetics
Accession Number
93A13076
Funding Number(s)
CONTRACT_GRANT: N00014-87-K-0304
CONTRACT_GRANT: NSF ECS-91-0090
CONTRACT_GRANT: NSF ECS-88-01912
CONTRACT_GRANT: NAG2-595
CONTRACT_GRANT: DAAL03-91-G-0194
Distribution Limits
Public
Copyright
Other

Available Downloads

There are no available downloads for this record.
No Preview Available