The macroscopic behavior of the TCP congestion avoidance algorithm
ACM SIGCOMM Computer Communication Review
Self-similarity and heavy tails: structural modeling of network traffic
A practical guide to heavy tails
The failure of TCP in high-performance computational grids
Proceedings of the 2000 ACM/IEEE conference on Supercomputing
The Adverse Impact of the TCP Congestion-Control Mechanism in Heterogeneous Computing Systems
ICPP '00 Proceedings of the Proceedings of the 2000 International Conference on Parallel Processing
TCP Congestion Control and Heavy Tails
TCP Congestion Control and Heavy Tails
Describing and simulating internet routes
NETWORKING'05 Proceedings of the 4th IFIP-TC6 international conference on Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communication Systems
GeoWeight: internet host geolocation based on a probability model for latency measurements
ACSC '10 Proceedings of the Thirty-Third Australasian Conferenc on Computer Science - Volume 102
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This contribution is attempting to address the problem of understanding how different aspects of networks - physical topology and routes on that topology - along with packet arrival models lead to congestion and other observed network characteristics as its fractal and periodic behavior. We reveal topology and routing effects on data transmissions between two routers linked by a connection path in a well-defined network environment. Our statistical approach is based on log-normal distributions. We show that the fractal behavior of a network node traffic can be viewed as a consequence of the topology and routing effects. This work is based on random simulations performed by the network simulator ns-2. We have shown that the longer the connection path, the more log-normal is the inter-arrival time distribution at the destination node. Moreover a spectrum analysis has been performed in order to emphasize the traffic periodic behavior rising from the most used transfer protocol TCP/Reno.