Efficient policies for carrying Web traffic over flow-switched networks
IEEE/ACM Transactions on Networking (TON)
Deriving traffic demands for operational IP networks: methodology and experience
IEEE/ACM Transactions on Networking (TON)
Trajectory sampling for direct traffic observation
IEEE/ACM Transactions on Networking (TON)
Charging from sampled network usage
IMW '01 Proceedings of the 1st ACM SIGCOMM Workshop on Internet Measurement
New directions in traffic measurement and accounting
Proceedings of the 2002 conference on Applications, technologies, architectures, and protocols for computer communications
Fast accurate computation of large-scale IP traffic matrices from link loads
SIGMETRICS '03 Proceedings of the 2003 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Flow sampling under hard resource constraints
Proceedings of the joint international conference on Measurement and modeling of computer systems
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Learn more, sample less: control of volume and variance in network measurement
IEEE Transactions on Information Theory
Fisher information of sampled packets: an application to flow size estimation
Proceedings of the 6th ACM SIGCOMM conference on Internet measurement
Priority sampling for estimation of arbitrary subset sums
Journal of the ACM (JACM)
A generic language for application-specific flow sampling
ACM SIGCOMM Computer Communication Review
Confident estimation for multistage measurement sampling and aggregation
SIGMETRICS '08 Proceedings of the 2008 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Optimal sampling in state space models with applications to network monitoring
SIGMETRICS '08 Proceedings of the 2008 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Self-management of hybrid networks: can we trust NetFlow data?
IM'09 Proceedings of the 11th IFIP/IEEE international conference on Symposium on Integrated Network Management
Emulation platform for network wide traffic sampling and monitoring
Proceedings of the 6th International Wireless Communications and Mobile Computing Conference
Adaptive multi-task monitoring system based on overhead prediction
Proceedings of the Workshop on Programmable Routers for Extensible Services of Tomorrow
A multi-task adaptive monitoring system combining different sampling primitives
Proceedings of the 23rd International Teletraffic Congress
Fair sampling across network flow measurements
Proceedings of the 12th ACM SIGMETRICS/PERFORMANCE joint international conference on Measurement and Modeling of Computer Systems
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IP network traffic is commonly measured at multiple points in order that all traffic passes at least one observation point. The resulting measurements are subsequently joined for network analysis. Many network management applications use measured traffic rates (differentiated into classes according to some key) as their input data. But two factors complicate the analysis. Traffic can be represented multiple times in the data, and the increasing use of sampling during measurement means some classes of traffic may be poorly represented. In this paper, we show how to combine sampled traffic measurements in way that addresses both of the above issues. We construct traffic rate estimators that combine data from different measurement datasets with minimal or close to minimal variance. This is achieved by robust adaptation to the estimated variance of each constituent. We motivate the method with two applications: estimating the interface-level traffic matrix in a router, and estimating network-level flow rates from measurements taken at multiple routers.