By Baek-Young Choi
Network tracking serves because the foundation for a large scope of community, engineering and administration operations. targeted community tracking consists of analyzing each packet traversing in a community. in spite of the fact that, this isn't possible with destiny high-speed networks, as a result of major overheads of processing, storing, and shifting measured facts. community tracking in excessive pace Networks provides actual size schemes from either site visitors and function views, and introduces adaptive sampling recommendations for numerous granularities of site visitors size. The suggestions permit tracking platforms to manage the accuracy of estimations, and adapt sampling chance dynamically in keeping with site visitors stipulations. the problems surrounding community delays for sensible functionality tracking are mentioned within the moment a part of this booklet. Case reviews in line with genuine operational community lines are supplied all through this publication. community tracking in excessive pace Networks is designed as a secondary textual content or reference booklet for advanced-level scholars and researchers targeting desktop technological know-how and electric engineering. pros operating in the networking also will locate this e-book useful.
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Extra info for Scalable Network Monitoring in High Speed Networks
Both the Internet IETF (Internet Engineering Task Force) working groups, IPFIX (IP Flow Information Export)  and PSAMP (Packet Sampling) , have recommended the use of packet sampling. Static sampling method such as “1 out of k” is being used by Cisco and Juniper for high-speed core routers ([15, 18]). The foremost and fundamental question regarding sampling is its accuracy. As stated previously, an inaccurate packet sampling not only defeats the purpose of traffic measurement and monitoring, but worse, can lead to wrong decisions by network operators.
When a flow rate is used in defining an elephant flow, a flow’s classification (elephant or mouse) may change over time, as its rate changes. Thus, the changing rate within a flow makes it difficult to define elephant flows. We outline how we tackle the above issues in the next subsection. 3 Our Approach For accuracy and efficiency of sampling, a sampling interval should be determined, for which a sampling rate is adjusted in accordance with the changing traffic condition. , a sampling interval) that is valid for all elephant flows.
5 Experimental Results In this section we empirically evaluate the performance of our adaptive random sampling technique using the real network traces. 2. In this study we have primarily used the long duration traces (the Auckland-II traces) that give enough number of estimates to produce more sound statistics and reliable results. But we have also investigated the short duration traces from the higher speed links 28 2 Load Characterization and Measurement in the backbone. We believe that the efficacy of our adaptive random sampling technique as demonstrated in this section are applicable to other traces.
Scalable Network Monitoring in High Speed Networks by Baek-Young Choi