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The Trouble with Diversity: Fork-Join Networks with Heterogenous Customer Population

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dc.creator Nguyen, Viên
dc.date 2004-06-01T16:43:05Z
dc.date 2004-06-01T16:43:05Z
dc.date 1992-10
dc.date.accessioned 2013-10-09T02:39:41Z
dc.date.available 2013-10-09T02:39:41Z
dc.date.issued 2013-10-09
dc.identifier http://hdl.handle.net/1721.1/5406
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description Consider a feedforward network of single-server stations populated by multiple job types. Each job requires the completion of a number of tasks whose order of execution is determined by a set of deterministic precedence constraints. The precedence requirements allow some tasks to be done in parallel (in which case tasks would "fork") and require that others be processed sequentially (where tasks may "join"). Jobs of a. given type share the same precedence constraints, interarrival time distributions, and service time distributions, but these characteristics may vary across different job types. We show that the heavy traffic limit of certain processes associated with heterogeneous fork-join networks can be expressed as a semimartingale reflected Brownian motion with polyhedral state space. The polyhedral region typically has many more faces than its dimension, and the description of the state space becomes quite complicated in this setting. One can interpret the proliferation of additional faces in heterogeneous fork-join networks as (i) articulations of the fork and join constraints, and (ii) results of the disordering effects that occur when jobs fork and join in their sojourns through the network.
dc.format 1580802 bytes
dc.format application/pdf
dc.language en_US
dc.publisher Massachusetts Institute of Technology, Operations Research Center
dc.relation Operations Research Center Working Paper;OR 268-92
dc.subject fork-join networks, heterogeneous customer populations, reflected Brownian motion,
dc.title The Trouble with Diversity: Fork-Join Networks with Heterogenous Customer Population
dc.type Working Paper


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