Computational weight of network traffic sampling techniques
作者： Joao Marco C. Silva , Paulo Carvalho , Solange Rito Lima
DOI: 10.1109/ISCC.2014.6912467
关键词: Sampling (statistics) 、 Real-time computing 、 Traffic shaping 、 Network packet 、 Network traffic simulation 、 Traffic generation model 、 Internet traffic engineering 、 Networking hardware 、 Computer science 、 Network traffic control
摘要: Within network measurement context, traffic sampling has been targeted as a promising solution to cope with the huge amount of traversing devices only subset packets is elected for analysis. Although this brings an evident advantage overhead, computational burden performing tasks in equipment may overshadow potential benefits sampling. Attending that techniques evince distinct temporal and spatial characteristics handling traffic, paper focused on studying weight current emerging terms memory consumption, CPU load data volume. Furthermore, accuracy these estimating parameters such throughput evaluated. A framework also implemented order provide versatile fair platform carrying out testing comparison process.
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