Name
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/INFCOM.2013.6566718 | INFOCOM Workshops |
Keywords | DocType | ISSN |
traffic sampling efficiency,multiadaptive technique proposal,multiadaptive technique,foreseeable sampling scenario,scalable network measurements,telecommunication traffic recording,consistent architecture,information model,internet,traffic sampling scope,computer networks,Internet,sampling component modular view,measurement scope,global traffic,scalable network measurement,telecommunication traffic,linear prediction,sampling methods,layered architecture | Conference | 0743-166X |
ISBN | Citations | PageRank |
978-1-4673-5944-3 | 1 | 0.35 |
References | Authors | |
5 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Joao Marco C. Silva | 1 | 2 | 1.04 |
| Paulo Carvalho | 2 | 250 | 47.68 |
| Solange Rito Lima | 3 | 1 | 0.69 |