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2010 – 2019
- 2019
[i5]Dinesha Ranathunga, Matthew Roughan, Paul Tune, Phil Kernick, Nick Falkner:
ForestFirewalls: Getting Firewall Configuration Right in Critical Networks (Technical Report). CoRR abs/1902.05689 (2019)- 2018
- [j9]Hui Xia, Bin Fang, Matthew Roughan, Kenjiro Cho
, Paul Tune:
A BasisEvolution framework for network traffic anomaly detection. Comput. Networks 135: 15-31 (2018) - [c14]Paul Tune, Matthew Roughan, Chris Wiren:
Hierarchical Traffic Matrices: Axiomatic Foundations to Practical Traffic Matrix Synthesis. APSIPA 2018: 1591-1600 - 2017
- [j8]Long Gong, Paul Tune, Liang Liu, Sen Yang, Jun (Jim) Xu:
Queue-Proportional Sampling: A Better Approach to Crossbar Scheduling for Input-Queued Switches. Proc. ACM Meas. Anal. Comput. Syst. 1(1): 3:1-3:33 (2017) - [j7]Paul Tune, Matthew Roughan:
Controlled Synthesis of Traffic Matrices. IEEE/ACM Trans. Netw. 25(3): 1582-1592 (2017) - [c13]Long Gong, Lanxi Huang, Paul Tune, Jinyoung Han, Chen-Nee Chuah, Matthew Roughan, Jun (Jim) Xu:
ForestStream: Accurate Measurement of Cascades in Online Social Networks. ICCCN 2017: 1-9 - [c12]Sen Yang, Bill Lin, Paul Tune, Jun (Jim) Xu:
A simple re-sequencing load-balanced switch based on analytical packet reordering bounds. INFOCOM 2017: 1-9 - [c11]Long Gong, Paul Tune, Liang Liu, Sen Yang, Jun (Jim) Xu:
Queue-Proportional Sampling: A Better Approach to Crossbar Scheduling for Input-Queued Switches. SIGMETRICS (Abstracts) 2017: 4 - 2016
- [c10]Paul Tune, Matthew Roughan, Kenjiro Cho:
A comparison of information criteria for traffic model selection. ICSPCS 2016: 1-10 - 2015
- [j6]Darryl Veitch, Paul Tune:
Optimal Skampling for the Flow Size Distribution. IEEE Trans. Inf. Theory 61(6): 3075-3099 (2015) - [c9]Paul Tune, Matthew Roughan:
Spatiotemporal Traffic Matrix Synthesis. SIGCOMM 2015: 579-592 - 2014
- [j5]Paul Tune, Matthew Roughan:
Maximum entropy traffic matrix synthesis. SIGMETRICS Perform. Evaluation Rev. 42(2): 43-45 (2014) - [c8]Paul Tune, Darryl Veitch:
OFSS: Skampling for the Flow Size Distribution. Internet Measurement Conference 2014: 235-240 - [c7]Paul Tune, Matthew Roughan:
Network-design sensitivity analysis. SIGMETRICS 2014: 449-461 - 2013
- [c6]Paul Tune, Hung X. Nguyen, Matthew Roughan:
Hidden Markov model identifiability via tensors. ISIT 2013: 2299-2303 - [i4]Paul Tune, Hung X. Nguyen, Matthew Roughan:
Hidden Markov Model Identifiability via Tensors. CoRR abs/1305.0321 (2013) - 2012
- [j4]Simon Knight, Nickolas J. G. Falkner, Hung X. Nguyen, Paul Tune, Matthew Roughan:
I can see for miles: Re-visualizing the internet. IEEE Netw. 26(6): 26-32 (2012) - [j3]Paul Tune:
Computing Constrained Cramér-Rao Bounds. IEEE Trans. Signal Process. 60(10): 5543-5548 (2012) - [i3]Paul Tune:
Computing Constrained Cramer Rao Bounds. CoRR abs/1204.2033 (2012) - 2011
- [j2]Linda M. Davis, Stephen V. Hanly, Paul Tune, Sibi Raj Bhaskaran:
Channel estimation and user selection in the MIMO broadcast channel. Digit. Signal Process. 21(5): 608-618 (2011) - [j1]Paul Tune, Darryl Veitch:
Fisher Information in Flow Size Distribution Estimation. IEEE Trans. Inf. Theory 57(10): 7011-7035 (2011) - [c5]Paul Tune, Darryl Veitch:
Sampling vs sketching: An information theoretic comparison. INFOCOM 2011: 2105-2113 - [i2]Paul Tune, Darryl Veitch:
Fisher Information in Flow Size Distribution. CoRR abs/1106.3809 (2011) - 2010
- [c4]Linda M. Davis, Stephen V. Hanly, Paul Tune, Sibi Raj Bhaskaran:
Multi-Antenna Downlink Broadcast Using Compressed-Sensed Medium Access. ICC 2010: 1-5
2000 – 2009
- 2009
- [c3]Paul Tune, Sibi Raj Bhaskaran, Stephen V. Hanly:
Number of measurements in sparse signal recovery. ISIT 2009: 16-20 - [c2]Sibi Raj Bhaskaran, Linda M. Davis, Alex J. Grant, Stephen V. Hanly, Paul Tune:
Downlink scheduling using compressed sensing. ITW 2009: 201-205 - [i1]Paul Tune, Sibiraj Bhaskaran Pillai, Stephen V. Hanly:
Number of Measurements in Sparse Signal Recovery. CoRR abs/0904.4525 (2009) - 2008
- [c1]Paul Tune, Darryl Veitch:
Towards optimal sampling for flow size estimation. Internet Measurement Conference 2008: 243-256
Coauthor Index
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