His primary scientific interests are in Algorithm, Network packet, Wavelet, Real-time computing and Wavelet transform. His study in Algorithm is interdisciplinary in nature, drawing from both Traffic generation model, Statistics and Packet switching. His work in Wavelet addresses issues such as Scaling, which are connected to fields such as Estimation, Key, Theoretical computer science and State.
His Wavelet transform research incorporates themes from Fractal and Hurst exponent. His studies deal with areas such as Numerical analysis and Data mining as well as Fractal. The concepts of his Hurst exponent study are interwoven with issues in Estimation theory and Estimator.
His primary areas of study are Network packet, Computer network, Real-time computing, The Internet and Algorithm. His research integrates issues of Poisson distribution, Statistical physics and Router in his study of Network packet. He studied Computer network and Distributed computing that intersect with Queueing theory.
His Algorithm research is multidisciplinary, incorporating elements of Sampling, Estimator, Wavelet and Spectral density. The Estimator study combines topics in areas such as Estimation theory and Hurst exponent. His study looks at the intersection of Hurst exponent and topics like Wavelet transform with Key.
Darryl Veitch mainly focuses on Server, The Internet, Computer network, Artificial intelligence and Scaling. Darryl Veitch has included themes like Testbed and Timestamp, Timestamping in his Server study. As part of the same scientific family, Darryl Veitch usually focuses on Testbed, concentrating on Event and intersecting with Network packet.
In his research on the topic of Scaling, Internet traffic, Internet Protocol, Heavy-tailed distribution and Poisson distribution is strongly related with Statistical physics. His work deals with themes such as Fractal and Robustness, which intersect with Internet traffic. His work focuses on many connections between Pattern recognition and other disciplines, such as Multicast, that overlap with his field of interest in Algorithm.
The scientist’s investigation covers issues in Testbed, Computer network, Server, Timestamping and Timestamp. His Testbed research incorporates elements of Computer security, Routing and Leap second. In most of his Leap second studies, his work intersects topics such as Network measurement.
His research links Software deployment with Network measurement. His study brings together the fields of Event and Computer network. Timestamp is a subfield of Real-time computing that Darryl Veitch investigates.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Wavelet analysis of long-range-dependent traffic
P. Abry;D. Veitch.
IEEE Transactions on Information Theory (1998)
A wavelet-based joint estimator of the parameters of long-range dependence
D. Veitch;P. Abry.
IEEE Transactions on Information Theory (1999)
Wavelets for the Analysis, Estimation, and Synthesis of Scaling Data
P. Abry;P. Flandrin;M. S. Taqqu;D. Veitch.
Multiscale nature of network traffic
P. Abry;R. Baraniuk;P. Flandrin;R. Riedi.
IEEE Signal Processing Magazine (2002)
Inverting sampled traffic
Nicolas Hohn;Darryl Veitch.
IEEE ACM Transactions on Networking (2006)
Long-range Dependence: Revisiting Aggregation with Wavelets
Patrice Abry;Darryl Veitch;Patrick Flandrin.
Journal of Time Series Analysis (1998)
Self-similar traffic and network dynamics
A. Erramilli;M. Roughan;D. Veitch;W. Willinger.
Proceedings of the IEEE (2002)
PC based precision timing without GPS
Attila Pásztor;Darryl Veitch.
measurement and modeling of computer systems (2002)
Robust synchronization of software clocks across the internet
Darryl Veitch;Satish Babu;Attila Pàsztor.
internet measurement conference (2004)
Cluster processes: a natural language for network traffic
N. Hohn;D. Veitch;P. Abry.
IEEE Transactions on Signal Processing (2003)
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