Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/170852
Title: Batch Arrival Retrial Queueing Models With Negative Customers And Fluctuating Modes Of Service
Researcher: Kirupa K
Guide(s): Udaya Chandrika K
Keywords: Queueing Models
Fluctuating Modes
Negative Customers
University: Avinashilingam Deemed University For Women
Completed Date: 05.10.2016
Abstract: Retrial queueing systems are characterized by the feature that arriving customers who cannot newlinereceive service immediately may join a virtual queue called orbit to try their request after some newlinerandom time. The main objective of the thesis is to investigate the batch arrival retrial queues with newlinenegative customers and fluctuating modes of service. The content of the thesis is presented in seven newlinechapters. First chapter deals with the preliminary concepts of queueing theory and relevant survey of newlineliterature. Batch arrival retrial G-queue with fluctuating modes of service, admission control and newlinefeedback is analyzed in Chapter 2. In Chapter 3, batch arrival retrial queueing system with negative newlinecustomers, fluctuating modes of service, feedback and randomized vacation is discussed. Chapter 4 newlineis an extension of Chapter 3 by including orbital search. Chapter 5 deals with non-persistent batch newlinearrival retrial G-queue with fluctuating modes of service, random breakdown and repair. Single server newlinebatch arrival retrial G-queue with fluctuating modes of service, random breakdown and delayed repair newlineis presented in Chapter 6. Batch arrival retrial G-queue with fluctuating modes of service, priority, newlinerandom breakdown, delayed repair and orbital search is analyzed in Chapter 7. All the models are newlinemathematically formulated and investigated using supplementary variable technique. The joint newlinedistributions of the server state and the orbit length under steady state are derived. Mean orbit size, newlinemean system size, availability of the server and failure frequency of the server are obtained. newlineStochastic decomposition law is verified and special cases are deduced. Numerical results are newlinecarried out to analyze the effect of parameters on the performance measures.
Pagination: 150 p.
URI: http://hdl.handle.net/10603/170852
Appears in Departments:Department of Mathematics

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01_title.pdfAttached File86.22 kBAdobe PDFView/Open
02_certificate.pdf166.8 kBAdobe PDFView/Open
03_acknowlwdgement.pdf18.24 kBAdobe PDFView/Open
04_contents.pdf3.96 kBAdobe PDFView/Open
05_list of tables & figures.pdf62.7 kBAdobe PDFView/Open
06_chapter1.pdf51.09 kBAdobe PDFView/Open
07_chapter2.pdf190.07 kBAdobe PDFView/Open
08_chapter3.pdf166.12 kBAdobe PDFView/Open
09_chapter4.pdf205.03 kBAdobe PDFView/Open
10_chapter5.pdf153.02 kBAdobe PDFView/Open
11_chapter6.pdf205.92 kBAdobe PDFView/Open
12_chapter7.pdf267.69 kBAdobe PDFView/Open
13_chapter8.pdf20.2 kBAdobe PDFView/Open
14_bibliography.pdf46.72 kBAdobe PDFView/Open


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