Gaussian approximations to service problems
a communication system example
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Author
Contributions
- Lehoczky, John P. - Contributor
- Naval Postgraduate School (U.S.) - Contributor
Publication
1975 - Naval Postgraduate School, Monterey, California, California
Language
English
Word Count
9,000 words, Guess
Page Count
36 pages
Identifiers
- Internet Archivegaussianapproxim00gave
- OCLC Control Number428731684
- Open LibraryOL25516152M
Description
Messages arrive at a group of service channels in accordance with a time-dependent Poisson process. An arrival either (1) immediately begins k-stage Markovian service if an empty channel is reached, or (2) balks and enters a retrial population if the channel sought is busy. Diffusion approximations to the number of messages in service (each stage) and in the retrial population are derived by writing stochastic differential (I+0) equations. Steady-state distributions are found and compared with certain simulation results.
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