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
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
Multifractality in TCP/IP traffic: the case against
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Long range dependent trafic
Small-time scaling behavior of Internet backbone traffic
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Long range dependent trafic
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Long range dependent trafic
Splitting and merging of packet traffic: Measurement and modelling
Performance Evaluation - Performance 2005
IEEE/ACM Transactions on Networking (TON)
ACM SIGCOMM Computer Communication Review
User interface characteristics and network utilization in mobile networks
MS'06 Proceedings of the 17th IASTED international conference on Modelling and simulation
An empirical comparison of generators for self similar simulated traffic
Performance Evaluation
Experimental validation of the ON-OFF packet-level model for IP traffic
Computer Communications
An information-theoretic approach to network monitoring and measurement
IMC '05 Proceedings of the 5th ACM SIGCOMM conference on Internet Measurement
Non-Gaussian and Long Memory Statistical Characterizations for Internet Traffic with Anomalies
IEEE Transactions on Dependable and Secure Computing
Rate-interval curves - A tool for the analysis and monitoring of network traffic
Performance Evaluation
A comparative study of different heavy tail index estimators of the flow size from sampled data
Proceedings of the first international conference on Networks for grid applications
Snapshot simulation of internet traffic: fast and accurate for heavy-tailed flows
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)
Snapshot simulation of internet traffic: queueing of fixed-rate flows
Proceedings of the 2nd International Conference on Simulation Tools and Techniques
Capturing router congestion and delay
IEEE/ACM Transactions on Networking (TON)
Analysis and modeling of a campus wireless network TCP/IP traffic
Computer Networks: The International Journal of Computer and Telecommunications Networking
The Poisson Cluster Process Runs as a Model for the Internet Traffic
NEW2AN '09 and ruSMART '09 Proceedings of the 9th International Conference on Smart Spaces and Next Generation Wired/Wireless Networking and Second Conference on Smart Spaces
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Long range dependent trafic
Multifractality in TCP/IP traffic: the case against
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Long range dependent trafic
Small-time scaling behavior of Internet backbone traffic
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Long range dependent trafic
Detection of multiple changes in fractional integrated ARMA processes
IEEE Transactions on Signal Processing
Inverse problems in queueing theory and Internet probing
Queueing Systems: Theory and Applications
Simulating a Poisson cluster process for Internet traffic packet arrivals
Computer Communications
Understanding IP traffic via cluster processes
ITC20'07 Proceedings of the 20th international teletraffic conference on Managing traffic performance in converged networks
Detecting traffic anomalies using an equilibrium property
Proceedings of the ACM SIGMETRICS international conference on Measurement and modeling of computer systems
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
ASTUTE: detecting a different class of traffic anomalies
Proceedings of the ACM SIGCOMM 2010 conference
Investigating self-similarity and heavy-tailed distributions on a large-scale experimental facility
IEEE/ACM Transactions on Networking (TON)
Inverting flow durations from sampled traffic
Proceedings of the 24th International Teletraffic Congress
Proceedings of the 2013 Summer Computer Simulation Conference
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We introduce a new approach to the modeling of network traffic, consisting of a semi-experimental methodology combining models with data and a class of point processes (cluster models) to represent the process of packet arrivals in a physically meaningful way. Wavelets are used to examine second-order statistics, and particular attention is paid to the modeling of long-range dependence and to the question of scale invariance at small scales. We analyze in depth the properties of several large traces of packet data and determine unambiguously the influence of network variables such as arrival patterns, durations, and volumes of transport control protocol (TCP) flows and internal flow structure. We show that session-level modeling is not relevant at the packet level. Our findings naturally suggest the use of cluster models. We define a class where TCP flows are directly modeled, and each model parameter has a direct meaning in network terms, allowing the model to be used to predict traffic properties as networks and traffic evolve. The class has the key advantage of being mathematically tractable, in particular, its spectrum is known and can be readily calculated, its wavelet spectrum deduced, interarrival distributions can be obtained, and it can be simulated in a straightforward way. The model reproduces the main second-order features, and results are compared against a simple black box point process alternative. Discrepancies with the model are discussed and explained, and enhancements are outlined. The elephant and mice view of traffic flows is revisited in the light of our findings.