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contributor authorA. Ayyagari
contributor authorA. Ray
date accessioned2017-05-08T23:38:02Z
date available2017-05-08T23:38:02Z
date copyrightMarch, 1992
date issued1992
identifier issn0022-0434
identifier otherJDSMAA-26179#121_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/110008
description abstractConceptual development, architecture, statistical and simulation models, and the results of test and verification of a fiber-optic-based protocol have been reported in a sequence of two papers. The protocol uses the unidirectional bus topology and is specifically designed for computer integrated manufacturing (CIM) networks. The architecture of the protocol is formulated in Part I [1]. In this second part, a statistical model of the proposed protocol is formulated for analyzing the network-induced delays and pertinent results of analysis and simulation are presented for different scenarios of network traffic. The major assumptions in formulating the statistical model are: (1) message arrival processes for real-time (RT) and non-real-time (NRT) modes are independent and Markov; and (2) message lengths follow independent general distributions with known statistical properties. The Laplace-Stieltjes transforms of probability distribution functions of queueing delays for RT and NRT messages have been derived. The analytical results for the first two moments of both RT and NRT queueing delays have been compared with those obtained from discrete event simulation.
publisherThe American Society of Mechanical Engineers (ASME)
titleA Fiber-Optic-Based Protocol for Manufacturing System Networks: Part II—Statistical Analysis
typeJournal Paper
journal volume114
journal issue1
journal titleJournal of Dynamic Systems, Measurement, and Control
identifier doi10.1115/1.2896493
journal fristpage121
journal lastpage131
identifier eissn1528-9028
keywordsFibers
keywordsManufacturing systems
keywordsNetworks
keywordsStatistical analysis
keywordsDelays
keywordsComputer-integrated manufacturing
keywordsSimulation
keywordsFunctions
keywordsProbability
keywordsSimulation models
keywordsTopology AND Traffic
treeJournal of Dynamic Systems, Measurement, and Control:;1992:;volume( 114 ):;issue: 001
contenttypeFulltext


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