Z-Iteration: Efficient Estimation of Instantaneous Measures in Time-Dependent Multi-Class Systems

dc.contributor.authorMatta, Ibrahimen_US
dc.contributor.authorShankar, A. Udayaen_US
dc.date.accessioned2004-05-31T22:28:22Z
dc.date.available2004-05-31T22:28:22Z
dc.date.created1995-07-15en_US
dc.date.issued1998-10-15en_US
dc.description.abstractMultiple-class multiple-resource (MCMR) systems, where a class of customers requires a set of resources, are common. These systems are often analyzed under steady-state conditions. We describe a simple numerical-analytical method, referred to as Z-iteration, to estimate instantaneous (and steady-state) probability measures of time-dependent systems. The key idea is to approximate the relationship between certain instantaneous measures by the relationship between their steady-state counterparts, and use this approximation to solve dynamic flow equations. We show the generality of the Z-iteration by applying it to an integrated communication network, a parallel database server, and a distributed batch system. Validations against exact numerical solutions and discrete-event simulations show the accuracy and computational advantages of the Z-iteration. (Also cross-referenced as UMIACS-TR-94-116.1)en_US
dc.format.extent495255 bytes
dc.format.mimetypeapplication/postscript
dc.identifier.urihttp://hdl.handle.net/1903/669
dc.language.isoen_US
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_US
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md.)en_US
dc.relation.isAvailableAtTech Reports in Computer Science and Engineeringen_US
dc.relation.isAvailableAtUMIACS Technical Reportsen_US
dc.relation.ispartofseriesUM Computer Science Department; CS-TR-3361.1en_US
dc.relation.ispartofseriesUMIACS; UMIACS-TR-94-116.1en_US
dc.titleZ-Iteration: Efficient Estimation of Instantaneous Measures in Time-Dependent Multi-Class Systemsen_US
dc.typeTechnical Reporten_US

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