JOURNAL ARTICLE

Sample-path analysis of stochastic discrete-event systems

Abstract

It is noted that, by examining a single realization (sample path), one can construct simple proofs under very general conditions for many interesting and important properties of queues and other stochastic discrete-event systems. The authors present a unified treatment of the sample-path approach for deriving distribution-free relations between performance measures for stochastic discrete-event systems. In addition to the classic example of L= lambda W (Little's formula), they discuss relations between continuous-time state frequencies and frequencies at the points of an imbedded point process, with particular attention given to the ASTA (arrivals see time average) property and the insensitivity phenomenon.< >

Keywords:
Event (particle physics) Sample (material) Path (computing) Realization (probability) Stochastic process Mathematical proof Discrete event dynamic system Point process Mathematics Computer science Property (philosophy) Queue Discrete mathematics Applied mathematics Algorithm Statistics Discrete system

Metrics

5
Cited By
0.00
FWCI (Field Weighted Citation Impact)
24
Refs
0.30
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Advanced Queuing Theory Analysis
Social Sciences →  Business, Management and Accounting →  Management Information Systems
Simulation Techniques and Applications
Social Sciences →  Decision Sciences →  Management Science and Operations Research
Probability and Risk Models
Social Sciences →  Decision Sciences →  Management Science and Operations Research

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