Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/6212
Title: Enhancing traffic sampling scope and efficiency
Authors: João Marco
Carvalho,P
Lima,SR
Issue Date: 2013
Abstract: Traffic 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.
URI: http://repositorio.inesctec.pt/handle/123456789/6212
http://dx.doi.org/10.1109/infcomw.2013.6562848
metadata.dc.type: conferenceObject
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Appears in Collections:Non INESC TEC publications - Articles in International Conferences

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