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dc.contributor.authorCamden, Mike D.
dc.date.accessioned2016-04-12T02:12:11Z
dc.date.available2016-04-12T02:12:11Z
dc.date.issued1972
dc.identifier.citationCamden, M. D. (1972). Systems of queues parallel, series and network queueing systems with applications to communications and computing (Thesis, Master of Science). University of Waikato, Hamilton, New Zealand. Retrieved from https://hdl.handle.net/10289/10076en
dc.identifier.urihttps://hdl.handle.net/10289/10076
dc.description.abstractThe need for understanding of various real-life queueing situations has caused the theory of queues to grow in various directions. One of these directions treats the class of systems where more than one service is available to, or required by, each customer, The theory for this class has progressed along a central path from which various developments branch. Multichannel poisson queues constitute the first part of the path; series and then networks of poisson stations follow. The branches from the path involve models with non-poisson or general assumptions, models with limited waiting room or limited numbers of customers, models with nonzero transit times, and others. The path leads to models for communication networks, and hence to models for computer networks. The theory of computer timesharing branches from the beginning of the path. The dissertation attempts to outline the present state of the theory for those models which occur on this path or its branches. The derivation of probability distributions for queue length and waiting time are presented in full for models on the central path, and in brief for the other models.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherUniversity of Waikato
dc.rightsAll items in Research Commons are provided for private study and research purposes and are protected by copyright with all rights reserved unless otherwise indicated.
dc.titleSystems of queues parallel, series and network queueing systems with applications to communications and computing
dc.typeThesis
thesis.degree.grantorUniversity of Waikato
thesis.degree.levelMasters
thesis.degree.nameMaster of Science (MSc)
dc.date.updated2016-04-12T02:10:58Z
pubs.place-of-publicationHamilton, New Zealanden_NZ


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