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dc.contributor.authorGamarnik, David
dc.contributor.authorTsitsiklis, John N
dc.contributor.authorZubeldia, Martin
dc.date.accessioned2022-07-21T12:38:31Z
dc.date.available2022-07-21T12:38:31Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/143910
dc.description.abstract<jats:p> We consider a heterogeneous distributed service system consisting of n servers with unknown and possibly different processing rates. Jobs with unit mean arrive as a renewal process of rate proportional to n and are immediately dispatched to one of several queues associated with the servers. We assume that the dispatching decisions are made by a central dispatcher with the ability to exchange messages with the servers and endowed with a finite memory used to store information from one decision epoch to the next, about the current state of the queues and about the service rates of the servers. We study the fundamental resource requirements (memory bits and message exchange rate) in order for a dispatching policy to be always stable. First, we present a policy that is always stable while using a positive (but arbitrarily small) message rate and [Formula: see text] bits of memory. Second, we show that within a certain broad class of policies, a dispatching policy that exchanges [Formula: see text] messages per unit of time, and with [Formula: see text] bits of memory, cannot be always stable. </jats:p>en_US
dc.language.isoen
dc.publisherInstitute for Operations Research and the Management Sciences (INFORMS)en_US
dc.relation.isversionof10.1287/MOOR.2021.1191en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcearXiven_US
dc.titleStability, Memory, and Messaging Trade-Offs in Heterogeneous Service Systemsen_US
dc.typeArticleen_US
dc.identifier.citationGamarnik, David, Tsitsiklis, John N and Zubeldia, Martin. 2021. "Stability, Memory, and Messaging Trade-Offs in Heterogeneous Service Systems." Mathematics of Operations Research.
dc.contributor.departmentSloan School of Management
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Data, Systems, and Society
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.contributor.departmentMassachusetts Institute of Technology. Laboratory for Information and Decision Systems
dc.relation.journalMathematics of Operations Researchen_US
dc.eprint.versionOriginal manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2022-07-21T12:22:02Z
dspace.orderedauthorsGamarnik, D; Tsitsiklis, JN; Zubeldia, Men_US
dspace.date.submission2022-07-21T12:22:04Z
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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