Traffic matrix estimation: existing techniques and new directions
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
How to identify and estimate the largest traffic matrix elements in a dynamic environment
Proceedings of the joint international conference on Measurement and modeling of computer systems
Diagnosing network-wide traffic anomalies
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Traffic matrix estimation on a large IP backbone: a comparison on real data
Proceedings of the 4th ACM SIGCOMM conference on Internet measurement
Traffic matrices: balancing measurements, inference and modeling
SIGMETRICS '05 Proceedings of the 2005 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
The problem of synthetically generating IP traffic matrices: initial recommendations
ACM SIGCOMM Computer Communication Review
Simplifying the synthesis of internet traffic matrices
ACM SIGCOMM Computer Communication Review
IEEE/ACM Transactions on Networking (TON)
Providing public intradomain traffic matrices to the research community
ACM SIGCOMM Computer Communication Review
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
Traffic matrix estimation based on a square root Kalman filtering algorithm
International Journal of Network Management
OD Count Estimation Based on Link Count Data
APNOMS '08 Proceedings of the 11th Asia-Pacific Symposium on Network Operations and Management: Challenges for Next Generation Network Operations and Service Management
Threshold configuration and routing optimization for PCN-based resilient admission control
Computer Networks: The International Journal of Computer and Telecommunications Networking
Spatio-temporal compressive sensing and internet traffic matrices
Proceedings of the ACM SIGCOMM 2009 conference on Data communication
Proceedings of the 6th International COnference
From traffic matrix to routing matrix: PoP level traffic characteristics for a Tier-1 ISP
ACM SIGMETRICS Performance Evaluation Review
Joint time-frequency sparse estimation of large-scale network traffic
Computer Networks: The International Journal of Computer and Telecommunications Networking
Towards a statistical characterization of the interdomain traffic matrix
IFIP'12 Proceedings of the 11th international IFIP TC 6 conference on Networking - Volume Part II
Spatio-temporal compressive sensing and internet traffic matrices
IEEE/ACM Transactions on Networking (TON)
IXP traffic: a macroscopic view
Proceedings of the 7th Latin American Networking Conference
On traffic matrix completion in the internet
Proceedings of the 2012 ACM conference on Internet measurement conference
The internet-wide impact of P2P traffic localization on ISP profitability
IEEE/ACM Transactions on Networking (TON)
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A common assumption made in traffic matrix (TM) modeling and estimation is independence of a packet's network ingress and egress. We argue that in real IP networks, this assumption should not and does not hold. The fact that most traffic consists of two-way exchanges of packets means that traffic streams flowing in opposite directions at any point in the network are not independent. In this paper we propose a model for traffic matrices based on independence of connections rather than packets. We argue that the independent-connection (IC) model is more intuitive, and has a more direct connection to underlying network phenomena than the gravity model. To validate the IC model, we show that it fits real data better than the gravity model and that it works well as a prior in the TM estimation problem. We study the model's parameters empirically and identify useful stability properties. This justifies the use of the simpler versions of the model for TM applications. To illustrate the utility of the model we focus on two such applications: synthetic TM generation and TM estimation. To the best of our knowledge this is the first traffic matrix model that incorporates properties of bidirectional traffic.