Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/6213
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dc.contributor.authorJoão Marcoen
dc.contributor.authorCarvalho,Pen
dc.contributor.authorLima,SRen
dc.date.accessioned2018-01-15T17:06:41Z-
dc.date.available2018-01-15T17:06:41Z-
dc.date.issued2013en
dc.identifier.urihttp://repositorio.inesctec.pt/handle/123456789/6213-
dc.identifier.urihttp://dx.doi.org/10.1109/infcom.2013.6566718en
dc.description.abstractTraffic Sampling is a crucial step towards scalable network measurements, enclosing manifold challenges. The wide variety of foreseeable sampling scenarios demands for a modular view of sampling components and features, grounded on a consistent architecture. Articulating the measurement scope, the required information model and the adequate sampling strategy is a major design issue for achieving an encompassing and efficient sampling solution. This is the main focus of the present work, where a layered architecture, a taxonomy of existing sampling techniques distinguishing their inner characteristics and a flexible framework able to combine these characteristics are introduced. In addition, a new multiadaptive technique proposal, based on linear prediction, allows to reduce the measurement overhead significantly, while assuring that traffic samples reflect the statistical behavior of the global traffic under analysis. © 2013 IEEE.en
dc.languageengen
dc.relation6946en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.titleEnhancing traffic sampling scope and efficiencyen
dc.typeconferenceObjecten
dc.typePublicationen
Appears in Collections:Non INESC TEC publications - Articles in International Conferences

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