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    A Fiber-Optic-Based Protocol for Manufacturing System Networks: Part II—Statistical Analysis

    Source: Journal of Dynamic Systems, Measurement, and Control:;1992:;volume( 114 ):;issue: 001::page 121
    Author:
    A. Ayyagari
    ,
    A. Ray
    DOI: 10.1115/1.2896493
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Conceptual 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.
    keyword(s): Fibers , Manufacturing systems , Networks , Statistical analysis , Delays , Computer-integrated manufacturing , Simulation , Functions , Probability , Simulation models , Topology AND Traffic ,
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      A Fiber-Optic-Based Protocol for Manufacturing System Networks: Part II—Statistical Analysis

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/110008
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    • Journal of Dynamic Systems, Measurement, and Control

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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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