A model for the M/M/1 queue and its applications in communication networks.

Bibliographic Details
Main Author: Johnston, Donald Alan
Other Authors: Feldman, R. M. (degree committee member.), Fischer, T. R. (degree committee member.), Painter, J. H. (degree committee member.)
Format: Thesis Book
Language:English
Published: 1983.
Subjects:
Online Access:Link to ProQuest Copy
Link to OAKTrust copy

MARC

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049 |a TXAM 
099 |a 1983  |a Dissertation  |a J73 
100 1 |a Johnston, Donald Alan 
245 1 2 |a A model for the M/M/1 queue and its applications in communication networks. 
264 1 |c 1983. 
300 |a vii, 84 leaves :  |b illustrations ;  |c 29 cm 
336 |a text  |b txt  |2 rdacontent 
337 |a unmediated  |b n  |2 rdamedia 
338 |a volume  |b nc  |2 rdacarrier 
500 |a "Major subject: Electrical Engineering." 
500 |a Typescript (photocopy). 
500 |a Vita. 
502 |b Ph. D. in Philosophy  |c Texas A & M University  |d 1983 
504 |a Includes bibliographical references (leaves 81-83). 
520 3 |a In this work, a continuous differential equation model describing the evolution of the mean number in an M/M/1 queue has been developed. The validity of this approximation has been established by comparisons with work by Stern {23} and with the results of extensive simulation studies. In an effort to extend the model to the prediction of the behavior of a network of queues, such as found in a packet switched communication network, the technique was successfully applied to a series of queues in tandem. This approximation scheme was next applied to a simple network which incorporated alternate routes between the source and destination. The existance of alternate routes necessitated, of course, the use of a control mechanism for choosing which route to use for a particular customer. In view of recent trends towards control based on averages, it was decided to implement a scheme based on such. It was found that the model accurately predicted the behavior of the network under this form of control. Finally, the model was used to describe a general N node ring network with distributed control. 
650 0 |a Algorithms. 
650 0 |a Computer networks. 
650 0 |a Queuing theory. 
650 4 |a Electrical Engineering 
655 7 |a Academic theses  |2 lcgft 
700 1 |a Cavin, R. K., III,  |e degree supervisor. 
700 1 |a Feldman, R. M.,  |e degree committee member. 
700 1 |a Fischer, T. R.,  |e degree committee member. 
700 1 |a Painter, J. H.,  |e degree committee member. 
710 2 |a Texas A & M University,  |e degree granting institution. 
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