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dc.contributor.authorMaggio, Martina
dc.contributor.authorHoffmann, Henry Christian
dc.contributor.authorSantambrogio, Marco Domenico
dc.contributor.authorAgarwal, Anant
dc.contributor.authorLeva, Alberto
dc.date.accessioned2012-08-09T15:34:53Z
dc.date.available2012-08-09T15:34:53Z
dc.date.issued2010-12
dc.identifier.isbn978-1-4244-7745-6
dc.identifier.issn0743-1546
dc.identifier.urihttp://hdl.handle.net/1721.1/72074
dc.description.abstractA formalism was recently introduced to instrument, monitor and control computer applications based on the rate of heartbeats they emit, thereby quantitatively signaling their progress toward goals. To date, the idea was however used essentially in an heuristic manner. This work first shows that a very simple dynamic heartbeat rate model can be devised, an that said model allows to address the corresponding control problems in a methodologically grounded way. A general solution is then devised, that can be realized through different actuation mechanisms, depending on which type of resource-CPU, memory, bandwidth, etc.-is constraining the application performance in the particular situation at hand. Experiments prove the efficacy of the proposed extension to the heartbeats framework, both with applications that fit the proposed model and with more complex test cases, for which said model is just a coarse approximation.en_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/CDC.2010.5717893en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceIEEEen_US
dc.titleControlling software applications via resource allocation within the Heartbeats frameworken_US
dc.typeArticleen_US
dc.identifier.citationMaggio, Martina et al. “Controlling software applications via resource allocation within the heartbeats framework.” IEEE, 2010. 3736-3741. © 2010 IEEEen_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.approverAgarwal, Anant
dc.contributor.mitauthorMaggio, Martina
dc.contributor.mitauthorHoffmann, Henry Christian
dc.contributor.mitauthorSantambrogio, Marco Domenico
dc.contributor.mitauthorAgarwal, Anant
dc.relation.journal49th IEEE Conference on Decision and Control (CDC), 2010en_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
dspace.orderedauthorsMaggio, Martina; Hoffmann, Henry; Santambrogio, Marco D.; Agarwal, Anant; Leva, Albertoen
dc.identifier.orcidhttps://orcid.org/0000-0002-7015-4262
dc.identifier.orcidhttps://orcid.org/0000-0002-1143-1127
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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