Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/52715

TitleComputational weight of network traffic sampling techniques
Author(s)Silva, Joao Marco C.
Carvalho, Paulo
Lima, Solange
Issue date2014
PublisherIEEE
JournalProceedings - IEEE Symposium on Computers and Communications
Abstract(s)Within network measurement context, traffic sampling has been targeted as a promising solution to cope with the huge amount of traffic traversing network devices as only a subset of packets is elected for analysis. Although this brings an evident advantage to measurement overhead, the computational burden of performing sampling tasks in network equipment may overshadow the potential benefits of sampling. Attending that sampling techniques evince distinct temporal and spatial characteristics in handling traffic, this paper is focused on studying the computational weight of current and emerging techniques in terms of memory consumption, CPU load and data volume. Furthermore, the accuracy of these techniques in estimating network parameters such as throughput is evaluated. A sampling framework has also been implemented in order to provide a versatile and fair platform for carrying out the testing and comparison process.
TypeConference paper
URIhttp://hdl.handle.net/1822/52715
ISBN9781479942787
DOI10.1109/ISCC.2014.6912467
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

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