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https://hdl.handle.net/2440/328
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DC Field | Value | Language |
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dc.contributor.author | Bean, N. | - |
dc.contributor.author | Gibbens, R. | - |
dc.contributor.author | Zachary, S. | - |
dc.date.issued | 1995 | - |
dc.identifier.citation | Advances in Applied Probability, 1995; 27(1):273-292 | - |
dc.identifier.issn | 0001-8678 | - |
dc.identifier.issn | 1475-6064 | - |
dc.identifier.uri | http://hdl.handle.net/2440/328 | - |
dc.description.abstract | In this paper we consider the analysis of call blocking at a single resource with differing capacity requirements as well as differing arrival rates and holding times. We include in our analysis trunk reservation parameters which provide an important mechanism for tuning the relative call blockings to desired levels. We base our work on an asymptotic regime where the resource is in heavy traffic. We further derive, from our asymptotic analysis, methods for the analysis of finite systems. Empirical results suggest that these methods perform well for a wide class of examples. | - |
dc.description.statementofresponsibility | N. G. Bean, R. J. Gibbens and S. Zachary | - |
dc.language.iso | en | - |
dc.publisher | Applied Probability Trust | - |
dc.rights | © 1995 Applied Probability Trust | - |
dc.source.uri | http://www.jstor.org/stable/1428107 | - |
dc.title | Asymptotic analysis of single resource loss systems in heavy traffic, with applications to integrated networks | - |
dc.type | Journal article | - |
dc.identifier.doi | 10.2307/1428107 | - |
pubs.publication-status | Published | - |
dc.identifier.orcid | Bean, N. [0000-0002-5351-3104] | - |
Appears in Collections: | Applied Mathematics publications Aurora harvest 2 Environment Institute publications |
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