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CCR
2008

Empirical evaluation of hash functions for multipoint measurements

8 years 8 months ago
Empirical evaluation of hash functions for multipoint measurements
A broad spectrum of network measurement applications demand passive multipoint measurements in which data from multiple observation points has to be correlated. Examples are the passive measurement of one-way delay or the observation of the path that a packet takes through a network. Nevertheless, due to high data rates and the need for fine granular measurements, the resource consumption for passive measurements can be immense. Furthermore, the resource consumption depends on the traffic in the network, which usually is highly dynamic. Packet and flow-selection methods provide a solution to reduce and control the resource consumption for passive measurements. In order to apply such techniques to multipoint measurements the selection processes need to be synchronized. Hash-based selection is a deterministic packet selection based on a hash function computed on selected parts of the packet content. This selection decision is consistent throughout the network and enables packet tracing ...
Christian Henke, Carsten Schmoll, Tanja Zseby
Added 09 Dec 2010
Updated 09 Dec 2010
Type Journal
Year 2008
Where CCR
Authors Christian Henke, Carsten Schmoll, Tanja Zseby
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