Deriving traffic demands for operational IP networks: methodology and experience
IEEE/ACM Transactions on Networking (TON)
Pop-level and access-link-level traffic dynamics in a tier-1 POP
IMW '01 Proceedings of the 1st ACM SIGCOMM Workshop on Internet Measurement
Testing the Gaussian approximation of aggregate traffic
Proceedings of the 2nd ACM SIGCOMM Workshop on Internet measurment
Structural analysis of network traffic flows
Proceedings of the joint international conference on Measurement and modeling of computer systems
How to identify and estimate the largest traffic matrix elements in a dynamic environment
Proceedings of the joint international conference on Measurement and modeling of computer systems
Traffic matrix estimation on a large IP backbone: a comparison on real data
Proceedings of the 4th ACM SIGCOMM conference on Internet measurement
Characteristics of Origin-Destination Pair Traffic in Funet
ICNICONSMCL '06 Proceedings of the International Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies
Blind maximum likelihood estimation of traffic matrices under long-range dependent traffic
Computer Networks: The International Journal of Computer and Telecommunications Networking
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In this paper we analyze measurements from the Finnish University Network (Funet) and study the effect of spatial aggregation on the origin-destination flows. The traffic is divided into OD pairs based on IP addresses, using different prefix lengths to obtain data sets with various aggregation levels. We find that typically the diurnal pattern of the total traffic is followed more closely by the OD pairs as their volume increases, but there are many exceptions. Gaussian assumption holds well for all OD pairs when the aggregation level is high enough, and we find an approximate threshold for OD pair traffic volume after which they tend to be Gaussian. Also the functional mean-variance relation holds better when the aggregation level is higher.