Queueing Networks of Random Link Topology: Stationary Dynamics of Maximal Throughput Schedules
dc.contributor.author | Bambos, Nicholas | en_US |
dc.contributor.author | Michailidis, George | en_US |
dc.date.accessioned | 2006-09-11T19:13:21Z | |
dc.date.available | 2006-09-11T19:13:21Z | |
dc.date.issued | 2005-05 | en_US |
dc.identifier.citation | Bambos, Nicholas; Michailidis, George; (2005). "Queueing Networks of Random Link Topology: Stationary Dynamics of Maximal Throughput Schedules." Queueing Systems 50(1): 5-52. <http://hdl.handle.net/2027.42/47640> | en_US |
dc.identifier.issn | 0257-0130 | en_US |
dc.identifier.issn | 1572-9443 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/47640 | |
dc.description.abstract | In this paper, we study the stationary dynamics of a processing system comprised of several parallel queues and a single server of constant rate. The connectivity of the server to each queue is randomly modulated, taking values 1 (connected) or 0 (severed). At any given time, only the currently connected queues may receive service. A key issue is how to schedule the server on the connected queues in order to maximize the system throughput. We investigate two dynamic schedules, which are shown to stabilize the system under the highest possible traffic load, by scheduling the server on the connected queue of maximum backlog (workload or job number). They are analyzed under stationary ergodic traffic flows and connectivity modulation. The results also extend to the more general case of random server rate. | en_US |
dc.format.extent | 1177600 bytes | |
dc.format.extent | 3115 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Kluwer Academic Publishers; Springer Science + Business Media, Inc. | en_US |
dc.subject.other | Economics / Management Science | en_US |
dc.subject.other | Computer Communication Networks | en_US |
dc.subject.other | Systems Theory, Control | en_US |
dc.subject.other | Probability Theory and Stochastic Processes | en_US |
dc.subject.other | Operation Research/Decision Theory | en_US |
dc.subject.other | Production/Logistics | en_US |
dc.subject.other | Queueing Networks | en_US |
dc.subject.other | Random Topology | en_US |
dc.subject.other | Modulation Process | en_US |
dc.subject.other | Optimal Resource Allocation | en_US |
dc.title | Queueing Networks of Random Link Topology: Stationary Dynamics of Maximal Throughput Schedules | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Management | en_US |
dc.subject.hlbsecondlevel | Industrial and Operations Engineering | en_US |
dc.subject.hlbsecondlevel | Economics | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.subject.hlbtoplevel | Business | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Statistics, The University of Michigan, Ann Arbor | en_US |
dc.contributor.affiliationother | Department of Management Science & Engineering and Department of Electrical Engineering, Stanford University, USA | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/47640/1/11134_2005_Article_858.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1007/s11134-005-0858-x | en_US |
dc.identifier.source | Queueing Systems | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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