On the self-similar nature of Ethernet traffic (extended version)
IEEE/ACM Transactions on Networking (TON)
SIGCOMM '95 Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
Experimental queueing analysis with long-range dependent packet traffic
IEEE/ACM Transactions on Networking (TON)
Data networks as cascades: investigating the multifractal nature of Internet WAN traffic
Proceedings of the ACM SIGCOMM '98 conference on Applications, technologies, architectures, and protocols for computer communication
Meaningful MRA intitialization for discrete time series
Signal Processing - Special issue on current topics in adaptive filtering for hands-free acoustic communication and beyond
Connection-level analysis and modeling of network traffic
IMW '01 Proceedings of the 1st ACM SIGCOMM Workshop on Internet Measurement
Proceedings of the 3rd ACM SIGCOMM conference on Internet measurement
Source-level IP packet bursts: causes and effects
Proceedings of the 3rd ACM SIGCOMM conference on Internet measurement
Non-stationarity and high-order scaling in TCP flow arrivals: a methodological analysis
ACM SIGCOMM Computer Communication Review
Analysis of long duration traces
ACM SIGCOMM Computer Communication Review
Why is the internet traffic bursty in short time scales?
SIGMETRICS '05 Proceedings of the 2005 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Long range dependent trafic
Web traffic modeling at finer time scales and performance implications
Performance Evaluation - Long range dependence and heavy tail distributions
A decade of Internet research -- advances in models and practices
BT Technology Journal
Splitting and merging of packet traffic: Measurement and modelling
Performance Evaluation - Performance 2005
IEEE/ACM Transactions on Networking (TON)
Tmix: a tool for generating realistic TCP application workloads in ns-2
ACM SIGCOMM Computer Communication Review
ACM SIGCOMM Computer Communication Review
An empirical comparison of generators for self similar simulated traffic
Performance Evaluation
Using LiTGen, a realistic IP traffic model, to evaluate the impact of burstiness on performance
Proceedings of the 1st international conference on Simulation tools and techniques for communications, networks and systems & workshops
Lévy flights and fractal modeling of internet traffic
IEEE/ACM Transactions on Networking (TON)
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Long range dependent trafic
LiTGen, a lightweight traffic generator: application to P2P and mail wireless traffic
PAM'07 Proceedings of the 8th international conference on Passive and active network measurement
Catching IP traffic burstiness with a lightweight generator
NETWORKING'07 Proceedings of the 6th international IFIP-TC6 conference on Ad Hoc and sensor networks, wireless networks, next generation internet
On the role of flows and sessions in internet traffic modeling: an explorative toy-model
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
A longitudinal study of small-time scaling behavior of internet traffic
NETWORKING'10 Proceedings of the 9th IFIP TC 6 international conference on Networking
Review: A critical look at power law modelling of the Internet
Computer Communications
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In addition to the well known long-range dependence in time series of IP bytes and packets, evidence for scaling behaviour has also been found at small scales for these series, separated by a characteristic transition timescale. It is less well known that two scaling regimes are also commonly found in time series describing the arrivals of TCP flows, again with long-range dependence, and with a broadly similar scaling exponent at small scales. The transition timescale is also roughly similar to that found in the IP level case. We investigate the dependencies between the scaling behaviours of the IP and TCP arrival levels at both small and large scales. We also study the origin of scaling at small scales at the IP level. The arrival level process is important to study both for its potential impact on the IP level, and in its own right, for example for web server performance. Our findings are based on gigabytes of high precision packet level data collected at multiple locations. The analysis methodology combines models with real data in a 'semi-experimental' approach which reduces the need for modeling assumptions. Flows and packets are individually manipulated to selectively isolate the components of scaling due to packet dynamics within a TCP flow, the dependencies between flows, their durations and packet counts, and the flow arrival process. The scaling behaviour is analysed using wavelet based methods.