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Enhancing traffic sampling scope and efficiency

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3 Author(s)
Silva, J.M.C. ; Centro Algoritmi, Univ. do Minho, Braga, Portugal ; Carvalho, P. ; Rito Lima, S.

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.

Published in:

INFOCOM, 2013 Proceedings IEEE

Date of Conference:

14-19 April 2013