On the role of flows and sessions in internet traffic modeling: an explorative toy-model

Authors:
Fabio Ricciato;Angelo Coluccia;Alessandro D'Alconzo;Darryl Veitch;Pierre Borgnat;Patrice Abry
Affiliations:
University of Salento, Lecce, Italy;University of Salento, Lecce, Italy;Forschungszentrum Telekommunikation Wien;University of Melbourne, Australia;Université de Lyon;Université de Lyon
Venue:
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Year:
2009

Citing 10
Cited 4

On the relevance of long-range dependence in network traffic

IEEE/ACM Transactions on Networking (TON)
Self-Similar Network Traffic and Performance Evaluation

Self-Similar Network Traffic and Performance Evaluation
Does fractal scaling at the IP level depend on TCP flow arrival processes?

Proceedings of the 2nd ACM SIGCOMM Workshop on Internet measurment
Some remarks to recent papers on traffic analysis: or the case for public Wiki-like platforms for commenting published papers

ACM SIGCOMM Computer Communication Review
Internet Measurement: Infrastructure, Traffic and Applications

Internet Measurement: Infrastructure, Traffic and Applications
Some remarks on unexpected scaling exponents

ACM SIGCOMM Computer Communication Review
A brief history of scanning

Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
Cluster processes: a natural language for network traffic

IEEE Transactions on Signal Processing
Traffic analysis at short time-scales: an empirical case study from a 3G cellular network

IEEE Transactions on Network and Service Management
Wavelet analysis of long-range-dependent traffic

IEEE Transactions on Information Theory

RENETO, a realistic network traffic generator for OMNeT++/INET

Proceedings of the 6th International ICST Conference on Simulation Tools and Techniques
Distribution-based anomaly detection via generalized likelihood ratio test: A general Maximum Entropy approach

Computer Networks: The International Journal of Computer and Telecommunications Networking
A methodological overview on anomaly detection

DataTraffic Monitoring and Analysis
Distribution-Based anomaly detection in network traffic

DataTraffic Monitoring and Analysis

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this work we present a simple toy-model that is able to explain certain empirical observations reported in a set of previous papers by Hohn et al. [1]-[3] about the wavelet spectrum of real traffic traces. Therein, the authors found that the wavelet spectrum is substantially invariant to flow scrambling and truncation. Such finding suggested that super-flow structures above the transport layer -- i.e., sessions -- can be ignored for modeling the packet arrival process. Based on the proposed toymodel, we offer an interpretation framework that goes in the opposite direction, indicating that sessions, not transport-layer flows, should be taken as the main structural entities in simplified on/off models.