Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/6214
Title: A Modular Architecture for Deploying Self-adaptive Traffic Sampling
Authors: João Marco
Carvalho,P
Lima,SR
Issue Date: 2014
Abstract: Traffic sampling is seen as a mandatory solution to cope with the huge amount of traffic traversing network devices. Despite the substantial research work in the area, improving the versatility of adjusting sampling to the wide variety of foreseeable measurement scenarios has not been targeted so far. This motivates the development of an encompassing measurement model based on traffic sampling able to support a large range of network management activities, in a scalable way. The design of this model involves identifying sampling techniques through its components rather than a closed unit, allowing to address issues such as flexibility, estimation accuracy, data overhead and computational weight within a narrower and simpler scope. This paper concretises these ideas presenting a modular and self-configurable measurement architecture based on sampling, a framework implementing sampling inherent pieces, and provides first results when deploying the proposed concepts in real traffic scenarios.
URI: http://repositorio.inesctec.pt/handle/123456789/6214
http://dx.doi.org/10.1007/978-3-662-43862-6_21
metadata.dc.type: conferenceObject
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Appears in Collections:Non INESC TEC publications - Articles in International Conferences

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