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» Time Series Models for Internet Data Traffic
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CONEXT
2009
ACM
13 years 8 months ago
Exploiting dynamicity in graph-based traffic analysis: techniques and applications
Network traffic can be represented by a Traffic Dispersion Graph (TDG) that contains an edge between two nodes that send a particular type of traffic (e.g., DNS) to one another. T...
Marios Iliofotou, Michalis Faloutsos, Michael Mitz...
TOMACS
2002
110views more  TOMACS 2002»
13 years 7 months ago
Rapid model parameterization from traffic measurements
The utility of simulations and analysis heavily relies on good models of network traffic. While network traffic constantly changing over time, existing approaches typically take y...
Kun-Chan Lan, John S. Heidemann
INFORMATICALT
1998
91views more  INFORMATICALT 1998»
13 years 7 months ago
Forecasting Automation: an Emerging Branch of Forecasting Engineering
Principles of the framework called time series forecasting automation are presented. It is required in processing massive temporal data sets and creating completely user-oriented f...
Andrey Kharchenko
GIS
2009
ACM
13 years 11 months ago
Towards modeling the traffic data on road networks
A spatiotemporal network is a spatial network (e.g., road network) along with the corresponding time-dependent weight (e.g., travel time) for each edge of the network. The design ...
Ugur Demiryurek, Bei Pan, Farnoush Banaei Kashani,...
CDC
2009
IEEE
126views Control Systems» more  CDC 2009»
13 years 11 months ago
Impact of arrival burstiness on queue length: An infinitesimal perturbation analysis
Traffic burstiness has a significant impact on network performance. Burstiness can cause buffer overflows and packet drops and is particularly problematic in the context of small-b...
Yan Cai, Yong Liu, Weibo Gong, Tilman Wolf