Please use this identifier to cite or link to this item:
Title: Enhancing traffic sampling scope and efficiency
Authors: João Marco
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.
metadata.dc.type: conferenceObject
Appears in Collections:Non INESC TEC publications - Articles in International Conferences

Files in This Item:
File Description SizeFormat 
P-009-AA4.pdf375.28 kBAdobe PDFThumbnail

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.