Traffic Measurements for Link Dimensioning


== Abstract ==

Traditional traffic measurements meter throughput on time scales in the order of 5 minutes, e.g., using the Multi Router Traffic Grapher (MRTG) tool. The time scale on which users and machines perceive Quality of Service (QoS) is, obviously, orders of magnitudes smaller. One of many possible reasons for degradation of the perceived quality, is congestion on links along the path network packets traverse. In order to prevent quality degradation due to congestion, network links have to be dimensioned in such a way that they appropriately cater for traffic bursts on time scales similarly small to the time scale that determines perceived QoS. It is well-known that variability of link load on small time scales (e.g., 10 milliseconds) is larger than on large time scales (e.g., 5 minutes). Few quantitative figures are known, however, about the magnitude of the differences between fine and coarse-grained measurements. The novel aspect of this paper is that it quantifies the differences in measured link load on small and large time scales. The paper describes two case studies. One of the surprising results is that, even for a network with 2000 users, the difference between short-term and long-term average load can be more than 100%. This leads to the conclusion that, in order to prevent congestion, it may not be sufficient to use the 5 minute MRTG maximum and add a small safety margin.

Document type: Part of book or chapter of book

== Full document ==
<pdf>Media:Draft_Garcia_395512475-beopen52-7384-document.pdf</pdf>


== Original document ==

The different versions of the original document can be found in:

[http://dx.doi.org/10.1007/978-3-540-39671-0_10 http://dx.doi.org/10.1007/978-3-540-39671-0_10]

[http://purl.utwente.nl/publications/41386 http://purl.utwente.nl/publications/41386]

[https://link.springer.com/content/pdf/10.1007%2F978-3-540-39671-0_10.pdf https://link.springer.com/content/pdf/10.1007%2F978-3-540-39671-0_10.pdf]

[https://research.utwente.nl/en/publications/traffic-measurements-for-link-dimensioning-a-case-study(5a1f983d-c629-4692-9450-aa1301bf1426).html https://research.utwente.nl/en/publications/traffic-measurements-for-link-dimensioning-a-case-study(5a1f983d-c629-4692-9450-aa1301bf1426).html]

[https://research.utwente.nl/en/publications/traffic-measurements-for-link-dimensioning-a-case-study(a19e86b8-0d55-4c8e-b98c-bf5fe0462fb3).html https://research.utwente.nl/en/publications/traffic-measurements-for-link-dimensioning-a-case-study(a19e86b8-0d55-4c8e-b98c-bf5fe0462fb3).html]

[http://link.springer.com/content/pdf/10.1007/978-3-540-39671-0_10 http://link.springer.com/content/pdf/10.1007/978-3-540-39671-0_10],[http://dx.doi.org/10.1007/978-3-540-39671-0_10 http://dx.doi.org/10.1007/978-3-540-39671-0_10]

[https://link.springer.com/chapter/10.1007/978-3-540-39671-0_10 https://link.springer.com/chapter/10.1007/978-3-540-39671-0_10],[https://research.utwente.nl/en/publications/traffic-measurements-for-link-dimensioning-a-case-study-2 https://research.utwente.nl/en/publications/traffic-measurements-for-link-dimensioning-a-case-study-2],[http://doc.utwente.nl/41386 http://doc.utwente.nl/41386],[https://rd.springer.com/chapter/10.1007%2F978-3-540-39671-0_10 https://rd.springer.com/chapter/10.1007%2F978-3-540-39671-0_10],[https://academic.microsoft.com/#/detail/2153218674 https://academic.microsoft.com/#/detail/2153218674]