Papers | Nick Duffield

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2025

Y. Pi, V. Gupta, N. Duffield (2025), Customized Computer Vision with Transfer-learning for TAMU Gameday Pedestrian and Vehicle Counting , TRB Conference of Data and AI for Transportation Advancement, Seattle, WA. May 27-29, 2025, to appear
Pankaj Pal, Juan Landivar-Bowles, Jose Landivar-Scott, Nick Duffield, Kevin Nowka, Jinha Jung, Anjin Chang, Kiju Lee, Lei Zhao, Mahendra Bhandari (2025), Unmanned aerial system and machine learning driven Digital-Twin framework for in-season cotton growth forecasting, Computers and Electronics in Agriculture, Volume 228, 2025, 109589,
https://doi.org/10.1016/j.compag.2024.109589.

2024

Reddy, Janvita, Haoyu Niu, Jose L. Landivar Scott, Mahendra Bhandari, Juan A. Landivar, Craig W. Bednarz, and Nick Duffield. (2024). “Cotton Yield Prediction via UAV-Based Cotton Boll Image Segmentation Using YOLO Model and Segment Anything Model (SAM)” Remote Sensing 16, no. 23: 4346. https://doi.org/10.3390/rs16234346
Z Zhang, D Li, Z Zhang, N Duffield (2024), Mining Spatiotemporal Mobility Patterns Using Improved Deep Time Series Clustering, ISPRS International Journal of Geo-Information 13 (11), 374
Z Zhang, S Ren, X Qian, N Duffield (2024), Learning Flexible Time-windowed Granger Causality Integrating Heterogeneous Interventional Time Series Data, ACM SIGKDD Conference on Knowledge Discovery and Data Mining
F Sharifi, M Burris, L Quadrifoglio, N Duffield, X Xu, A Meitiv, YA Xu (2024), Electric truck feasibility for port drayage operations: Port houston case study, , Transportation Research Part D: Transport and Environment 135, 104355
Xinyue Ye, Shoujia Li, Ge Gao, David Retchless, Zhenhang Cai, Galen Newman, Jiaxin Du & Nick Duffield. 3D visualization of hurricane storm surge impact on urban infrastructure. Urban Info 3, 9 (2024). https://doi.org/10.1007/s44212-024-00043-x
Z Zhang, S Ren, X Qian, N Duffield (2024), “Toward Invariant Time Series Forecasting in Smart Cities”, 10th International Smart City Workshop-The Web and Smart Cities, 2024
Peiman Mohseni, Nick Duffield (2024), “Spectral Convolutional Conditional Neural Processes”, ICLR 2024 Workshop TS4H
Risal, Avay, Haoyu Niu, Jose Luis Landivar-Scott, Murilo M. Maeda, Craig W. Bednarz, Juan Landivar-Bowles, Nick Duffield, Paxton Payton, Pankaj Pal, Robert J. Lascano, and et al. (2024). “Improving Irrigation Management of Cotton with Small Unmanned Aerial Vehicle (UAV) in Texas High Plains” Water 16, no. 9: 1300. https://doi.org/10.3390/w16091300
Niu, Haoyu, Janvita Reddy Peddagudreddygari, Mahendra Bhandari, Juan A. Landivar, Craig W. Bednarz, and Nick Duffield (2024). “In-Season Cotton Yield Prediction with Scale-Aware Convolutional Neural Network Models and Unmanned Aerial Vehicle RGB Imagery” Sensors 24, no. 8: 2432. https://doi.org/10.3390/s24082432
Haoyu Niu, Nicholas Duffield, and Juan Landivar (2024). “Classification of cotton water stress using UAV-based RGB image and convolutional neural networks.”, Advances in Modern Agriculture, Vol 5, Issue 1, Article 2457, 2024. https://doi.org/10.54517/ama.v5i1.2457
Snehashis Chakraborty, Hernan Santos Barrera, Nick Duffield, Michael Fox, Walter Magnussen, Patrick Newman, Anjuli Renold, Jian Tao, Valerie Vetrone (2024), Creating a Shared Public Safety Radio Dataset, 2024 IEEE World Forum on Public Safety Technology (WF-PST), pp. 188-191.
H. Raghukumar et. al., (2024), Smart Communities, Smart Responders – Artificial Intelligence for Internet of Things Competition: A Case Study in Organizing a Public Safety Innovation Challenge, 2024 IEEE World Forum on Public Safety Technology (WF-PST), to appear
Chih-Shen Cheng, Yalong Pi, Tim Lomax, Nick Duffield, Amir H Behzadan (2024), Pedestrian Phone-Related Distracted Behavior Classification in Front-Facing Vehicle Cameras for Road User Safety, Computing in Civil Engineering, 418-425

2023

Diya Li, Zhe Zhang, Bahareh Alizadeh, Ziyi Zhang, Nick Duffield, Michelle A. Meyer, Courtney M.Thompson, Huilin Gao & Amir H. Behzadan (2023) A reinforcement learning-based routing algorithm for large street networks, International Journal of Geographical Information Science, DOI: 10.1080/13658816.2023.2279975
Jian Tao, Egleu DM Mendes, Yalong Pi, Alyssa Cassity, Revanth Reddy Male, Karun Kaniyamattam, Nick Duffield, Luis O Tedeschi (2023), Building Digital Twins for Precision Livestock Farming: Data Analytics and Big Data Challenges, Journal of Animal Science, vol. 101, Supplement 3, 75-76
Ziyi Zhang, Diya Li, Zhenlei Song, Nick Duffield, and Zhe Zhang (2023). Location-Aware Social Network Recommendation via Temporal Graph Networks. In Proceedings of the 7th ACM SIGSPATIAL Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising (LocalRec ’23). Association for Computing Machinery, New York, NY, USA, 58–61. https://doi.org/10.1145/3615896.3628342
Farinoush Sharifi, Mark Burris, Luca Quadrifoglio, Nick Duffield, Xiaodan Xu, Alexander Meitiv, Yanzhi Xu (2023), Heavy-duty Battery Electric Trucks for Port Drayage Operations: A Feasibility Study, Transportation Research Board 2023 Annual Meeting
Ziyi Zhang, Diya Li, Zhe Zhang, Nick Duffield (2023), Deep Time-Series Spatial Clustering: A Robust and Efficient Approach to Map Covid-19 Spatiotemporal Mobility Patterns, International Symposium on Location-Based Big Data and GeoAI 2023 (LocBigDataAI 2023), to appear
Peiman Mohseni, Nick Duffield, Bani Mallick, Arman Hasanzadeh (2023), Adaptive Conditional Quantile Neural Processes, Conference on Uncertainty in Artificial Intelligence (UAI 2023), to appear
Yalong Pi, Nick Duffield, Amir Behzadan, Tim Lomax (2023), Lane-specific speed analysis in urban work zones with computer vision, Traffic Injury Prevention, DOI: 10.1080/15389588.2023.2173522
Hutchins, S. D., Wright, K., & Duffield, N. (2023). Application of a Retrospective Pretest-Posttest Design to the Evaluation and Continuous Improvement of Professional Development. Proceedings 2023 Southwest Educational Research Association Conference. February 15-17, 2023. San Antonio, TX

Yalong Pi, Xinyue Ye, Nick Duffield (2022), Rapid Damage Estimation of Texas Winter Storm Uri from Social Media Using Deep Neural Networks, Urban Sci. 2022, 6(3), 62; https://doi.org/10.3390/urbansci6030062
Y. Xu, K. He, R. Wang, M. Yu, N. Duffield, H. Wassel, S. Zhang, L. Poutievski, J. Zhou, A. Vahdat (2022), Hashing Design in Modern Networks: Challenges and Mitigation Techniques, USENIX Annual Tech Conference, 2022,
A. Hasanzadeh, E. Hajiramezanali, N. Duffield, X. Qian (2022), MoReL: Multi-omics Relational Learning. International Conference on Learning Representations (2022).
Y. Feng, N. Duffield, Multiscale Energy Network Tomography, IFIP Networking 2022
Pi Y., Lomax T., Duffield N., Behzadan A. (2022), Visual Recognition for Traffic Information Retrieval and Analysis in Major Events Using Convolutional Neural Networks, Comp. Urban Sci. 2, 2,.
B. Lin, L. Zou, N. Duffield, A. Mostafavi, H. Cai, B. Zhou, et al., (2022), Revealing the linguistic and geographical disparities of public awareness to Covid-19 outbreak through social media, International Journal of Digital Earth 2022 Vol. 15 Issue 1 Pages 868-889, https://doi.org/10.1080/17538947.2022.2070677

2021

Ziyi Zhang, Diya Li, Zhe Zhang, N. Duffield (2021), A time-series clustering algorithm for analyzing the changes of mobility pattern caused by COVID-19, HANIMOB ’21: Proc. 1st ACM SIGSPATIAL International Workshop on Animal Movement Ecology and Human Mobility, November 2021
Patterson, C., Harlin, J., Couri, D., Fowler, D., & Duffield, N (2021), Mentoring in Artificial Intelligence and Materials Science: Applying a New Doctoral Model, The Chronicle of Mentoring and Coaching, November 2021, pp 483-483
Sourav Panda, Yixiao Feng, Sameer G. Kulkarni, K. K. Ramakrishnan, Nick Duffield, Laxmi N. Bhuyan (2021) SmartWatch: accurate traffic analysis and flow-state tracking for intrusion prevention using SmartNICs. CoNEXT 2021: 60-75
Nesreen K. Ahmed, Nick Duffield, Ryan A. Rossi: Online Sampling of Temporal Networks. ACM Trans. Knowl. Discov. Data 15(4): 59:1-59:27(2021)
Arman Hasanzadeh, Mohammadreza Armandpour, Ehsan Hajiramezanali, Mingyuan Zhou, Nick Duffield, Krishna Narayanan (2021), Bayesian Graph Contrastive Learning. CoRR abs/2112.07823 (2021)

2020

Context-aware Deep Representation Learning for Geo-spatiotemporal Analysis
H Mao, X Liu, N Duffield, H Yuan, SJ Ji, B Mohanty, ICDM 2020, https://doi.org/10.1109/ICDM50108.2020.00048
Adaptive Shrinkage Estimation for Streaming Graphs, by Nesreen Ahmed and Nick Duffield, NeurIPS 2020
BayReL: Bayesian Relational Learning for Multi-omics Data Integration, by Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna Narayanan, Xiaoning Qian, NeurIPS 2020
A SmartNIC-Accelerated Monitoring Platform for In-band Network Telemetry, by Yixiao Feng, Sourav Panda, Sameer Kulkarni. KK Ramakrishnan. Nick Duffield, IEEE LANMAN 2020, https://doi.org/10.1109/LANMAN49260.2020.9153279
Bayesian Graph Neural Networks with Adaptive Connection Sampling, by Arman Hasanzadeh, Ehsan Hajiramezanali, Shahin Boluki, Nick Duffield, Mingyuan Zhou, Krishna Narayanan, Xiaoning Qian, International Conference on Machine Learning (ICML 2020). https://arxiv.org/pdf/2006.04064.pdf
Near-Optimal Disjoint-Path Facility Location Through Set Cover by Pairs, David S. Johnson, Lee Breslau, Ilias Diakonikolas, Nick Duffield, Yu Gu, MohammadTaghi Hajiaghayi, Howard Karloff, Mauricio G. C. Resende, Operations Research, Vol 68, No. 3, 2020. https://doi.org/10.1287/opre.2019.1956
Semi-Implicit Stochastic Recurrent Neural Networks, Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna Narayanan, Mingyuan Zhou, Xiaoning Qian, ICASSP 2020. https://doi.org/10.1109/ICASSP40776.2020.9053491

2019

Variational Graph Recurrent Neural Networks, by Arman Hasanzadeh, Ehsan Hajiramezanali, Nick Duffield, Krishna Narayanan, Mingyuan Zhou, Xiaoning Qian, Advances in Neural Information Processing Systems 32 (NeurIPS 2019). https://arxiv.org/abs/1908.09710
Semi-Implicit Graph Variational Auto-Encoders, by Arman Hasanzadeh, Ehsan Hajiramezanali, Nick Duffield, Krishna Narayanan, Mingyuan Zhou, Xiaoning Qian, Advances in Neural Information Processing Systems 32 (NeurIPS 2019) https://arxiv.org/abs/1908.07078
Gap Filling of High‐Resolution Soil Moisture for SMAP/Sentinel‐1: A Two‐Layer Machine Learning‐Based Framework, by Hanzi Mao, Dhruva Kathuria, Nick Duffield, Binayak P. Mohanty, Water Resources Research, July 2019, https://doi.org/10.1029/2019WR024902, https://eartharxiv.org/ce865/
Micro- and Macro-Level Churn Analysis of Large-Scale Mobile Games, by Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang,. Knowl Inf Syst (2019). https://doi.org/10.1007/s10115-019-01394-7
Real-Time Streaming Graph Embedding Through Local Actions, Xi Liu, Ping-Chun Hsieh, Nick Duffield, Rui Chen, Muhe Xie, and Xidao Wen. Companion Proceedings of the 2019 World Wide Web Conference (WWW ’19 Companion), May 13–17, 2019, San Francisco, CA, USA. ACM, New York, NY, USA, 9 pages. https://doi.org/10.1145/3308560.3316585
Piecewise Stationary Modeling of Random Processes Over Graphs With an Application to Traffic Prediction, A. Hasanzadeh, X. Liu, N. Duffield and K. R. Narayanan, 2019 IEEE International Conference on Big Data (Big Data), Los Angeles, CA, USA, 2019, pp. 3779-3788. https://doi.org/10.1109/BigData47090.2019.9005965
Optimizing Consistent Merging and Pruning of Subgraphs in Network Tomography, by Mahmood Ettehad, Nick Duffield, Gregory Berkolaiko, arXiv:1908.03519, 2019
Network Shrinkage Estimation, by Nesreen K Ahmed, Nick Duffield, arXiv:1908.01087, 2019
Temporal Network Sampling, by Nesreen Ahmed, Nick Duffield, Ryan Rossi, arXiv:1910.08657, 2019

2018

A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games, by Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, and Na Wang, International Conference on Data Mining (ICDM 2018), https://doi.org/10.1109/ICDM.2018.00043
Graph Reconstruction from Path Correlation Data by G. Berkolaiko, N. Duffield, M. Ettehad, K. Manouskais, Inverse Problems, November 2018. https://doi.org/10.1088/1361-6420/aae798
Sampling for Approximate Bipartite Network Projection by Nesreen Ahmed, Nick Duffield, Liangzhen Xia, Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18), https://doi.org/10.24963/ijcai.2018/456

2017

Stream Aggregation Through Order Sampling by Nick Duffield, Yunhong Xu, Liangzhen Xia, Nesreen Ahmed, Minlan Yu, Conference on Knowledge and Information Management (CIKM 2017), https://doi.org/10.1145/3132847.3133042
On Sampling from Massive Graph Streams, Nesreen K. Ahmed, Nick Duffield, Theodore Willke, Ryan A. Rossi, Very Large Databases (VLDB’17), 2017, https://doi.org/10.14778/3137628.3137651
Signature Inversion for Monotone Paths, Jiawei Chang, Nick Duffield, Hao Ni, Weijun Xu, Electronic Communications in Probability, 2017, https://doi.org/10.1214/17-ECP70

2016

Graphlet Decomposition: Framework, Algorithms, and Applications, Nesreen K. Ahmed, Jennifer Neville, Ryan A. Rossi, Nick Duffield, Theodore L. Willke, Knowledge and Information Systems (2016). https://doi.org/10.1007/s10115-016-0965-5
On the Tradeoff between Stability and Fit, E. Cohen, G. Cormode, N. Duffield, C. Lund, ACM Transactions on Algorithms, Volume 13 Issue 1, Article No. 7, October 2016. https://doi.org/10.1145/2963103
Efficient Sampling for Better OSN Data Provisioning. N. Duffield and B. Krishnamurthy, Proceedings of the 54th Annual Allerton Conference on Communication, Control, and Computing, 2016

2015

Efficient Graphlet Counting for Large Networks, N. Ahmed, J. Neville, R. Rossi, N.Duffield, IEEE ICDM 2015 (Best paper candidate). https://doi.org/10.1109/ICDM.2015.141

2014

Graph Sample and Hold: A Framework for Big-Graph Analytics, N. Ahmed, N. Duffield, J. Neville, R. Kompella, ACM SIGKDD 2014 Conference on Conference on Knowledge Discovery and Data Mining. https://doi.org/10.1145/2623330.2623757
Algorithms and estimators for summarization of unaggregated data streams, Edith Cohen, Nick Duffield, Haim Kaplan, Carsten Lund, Mikkel Thorup: Journal of Computer and System Sciences, Vol. 80, Issue 7, pp. 1214–1244, Nov. 2014. https://doi.org/10.1016/j.jcss.2014.04.009
Sampling for Big Data: A Tutorial, G. Cormode, N.G. Duffield ACM SIGKDD 2014

2013

High-Fidelity Per-Flow Delay Measurements With Reference Latency Interpolation. Myungjin Lee, Nick G. Duffield, Ramana Rao Kompella. IEEE/ACM Trans. Netw. 21(5): 1567-1580 (2013). https://doi.org/10.1109/TNET.2012.2227793
Event detection using customer care calls. Y.-C. Chen, G.M. Lee, N.G. Duffield, L. Qiu, J. Wang: IEEE INFOCOM 2013: 1690-1698. https://doi.org/10.1109/INFCOM.2013.6566966
Modeling Cellular User Mobility Using a Leap Graph, W. Dong, N.G. Duffield, Z. Ge, S. Lee, J. Pang, Passive and Active Measurement PAM 2013: 53-62. https://doi.org/10.1007/978-3-642-36516-4_6
Understanding the complexity of 3G UMTS network performance. Y. Chen, N.G. Duffield, P. Haffner, W.-L. Hsu, G. Jacobson, Y. Jin, S. Sen, S. Venkataraman, Z.-L. Zhang, IFIP Networking 2013 Conference, Brooklyn, New York, May 22-24, 2013.

2012

Characterizing Data Usage Patterns in a Large Cellular Network, Y. Jin, N.G. Duffield, A. Gerber, P. Haffner, W.-L. Hsu, G. Jacobson, S. Sen, S. Venkataraman , Z.-L. Zhang, Proc. 2012 ACM SIGCOMM Cellnet Workshop, Helsinki, Finland, August 13-17, 2012.
Tiresias: Online Anomaly Detection for Hierarchical Operational Network Data. Chi-Yao Hong, Matthew Caesar, Nick Duffield, Jia Wang: ICDCS 2012: 173-182, https://doi.org/10.1109/ICDCS.2012.30
Cuckoo sampling: Robust collection of flow aggregates under a fixed memory budget. Josep Sanjuas-Cuxart, Pere Barlet-Ros, Nick Duffield, Ramana Rao Kompella: INFOCOM 2012: 2751-2755, https://doi.org/10.1109/INFCOM.2012.6195693
Don’t let the negatives bring you down: sampling from streams of signed updates. Edith Cohen, Graham Cormode, Nick Duffield: ACM SIGMETRICS 2012: 343-354
Fair sampling across network flow measurements. Nick Duffield: ACM SIGMETRICS 2012: 367-378
MAPLE: A Scalable Architecture for Maintaining Packet Latency Measurements. Myungjin Lee, Nick Duffield, Ramana Rao Kompella: Internet Measurement Conference IMC 2012
Opportunistic Flow-Level Latency Estimation Using Consistent NetFlow. Nick Duffield, Ramana Rao Kompella: IEEE/ACM Trans. Netw. 20(1): 139-152 (2012), https://doi.org/10.1109/TNET.2011.2157975
A Modular Machine Learning System for Flow-Level Traffic Classification in Large Networks. Yu Jin, Nick Duffield, Jeffrey Erman, Patrick Haffner, Subhabrata Sen, Zhi-Li Zhang: TKDD 6(1): 4 (2012), https://doi.org/10.1145/2133360.2133364
Loss Episode Metrics for IP Performance Metrics (IPPM), N.G. Duffield, A. Morton, J. Sommers, RFC 6534, May 2012

2011

Large-scale app-based reporting of customer problems in cellular networks: potential and limitations. Y. Jin, N.G. Duffield, A. Gerber, P. Haffner, W.-L. Hsu, G. Jacobson, S. Sen, S. Venkataraman, Z.-L. Zhang: W-MUST ’11: First ACM SIGCOMM Workshop on Measurements up the Stack. https://doi.org/10.1145/2018602.2018607
Sketching the Delay: Tracking Temporally Uncorrelated Flow-Level Latencies, J. Sanjuas-Cuxart, P. Barlet-Ros, N.G. Duffield, R. Kompella. Internet Measurement Conference IMC 2011, https://doi.org/10.1145/2068816.2068861
Disjoint-Path Facility Location: Theory and Practice. Lee Breslau, Ilias Diakonikolas, Nick Duffield, Yu Gu, Mohammad Taghi Hajiaghayi, David S. Johnson, Howard J. Karloff, Mauricio G. C. Resende, Subhabrata Sen: ALENEX 2011: 60-74, https://doi.org/10.1137/1.9781611972917.7
Making sense of customer tickets in cellular networks. Yu Jin, Nick Duffield, Alexandre Gerber, Patrick Haffner, Wen-Ling Hsu, Guy Jacobson, Subhabrata Sen, Shobha Venkataraman, Zhi-Li Zhang: INFOCOM 2011: 101-105, https://doi.org/10.1109/INFCOM.2011.5934875
Efficient network-wide flow record generation. Joel Sommers, Rhys Alistair Bowden, Brian Eriksson, Paul Barford, Matthew Roughan, Nick Duffield: INFOCOM 2011: 2363-2371, https://doi.org/10.1109/INFCOM.2011.5935055
Structure-aware sampling on data streams. Edith Cohen, Graham Cormode, Nick Duffield: SIGMETRICS 2011: 197-208, https://doi.org/10.1145/1993744.1993763
Structure-Aware Sampling: Flexible and Accurate Summarization. Edith Cohen, Graham Cormode, Nick Duffield: PVLDB 4(11): 819-830 (2011)
Efficient Stream Sampling for Variance-Optimal Estimation of Subset Sums. Edith Cohen, Nick Duffield, Haim Kaplan, Carsten Lund, Mikkel Thorup: SIAM J. Comput. 40(5): 1402-1431 (2011)

2010

NEVERMIND, the problem is already fixed: proactively detecting and troubleshooting customer DSL problems. Yu Jin, N.G. Duffield, Alexandre Gerber, Patrick Haffner, Subhabrata Sen, Zhi-Li Zhang:, CoNEXT 2010: 7. https://doi.org/10.1145/1921168.1921178
BasisDetect: a model-based network event detection framework. Brian Eriksson, Paul Barford, Rhys Bowden, N.G. Duffield, Joel Sommers, Matthew Roughan:
2010: 451-464, https://doi.org/10.1145/1879141.1879200
FlowRoute: Monitoring the Impact of Control Plane Events Using Passive Flow-level Measurements, A. Dhamdhere, L. Breslau, N.G. Duffield, C.T. Ee, A. Gerber, C. Lund, S. Sen, Internet Measurement Conference 2010, https://doi.org/10.1145/1879141.1879183
Two Samples are Enough: Opportunistic Flow-level Latency Estimation using NetFlow, M. Lee, N.G. Duffield, R.R. Kompella, 2010, https://doi.org/10.1109/INFCOM.2010.5462044
Not all microseconds are equal: fine-grained per-flow measurements with reference latency interpolation, Myungjin Lee, N.G. Duffield, Ramana Rao Kompella: SIGCOMM 2010: 27-38, https://doi.org/10.1145/1851182.1851188
Inferring applications at the network layer using collective traffic statistics.Yu Jin, N.G. Duffield, Patrick Haffner, Subhabrata Sen, Zhi-Li Zhang, ITC 2010. https://doi.org/10.1145/1811039.1811082
Multiobjective monitoring for SLA compliance. Joel Sommers, Paul Barford, N.G. Duffield, Amos Ron: IEEE/ACM Trans. Netw. 18(2): 652-665 (2010)

2009

Composable, Scalable, and Accurate Weight Summarization of Unaggregated Data Sets, Edith Cohen, Nick Duffield, Haim Kaplan, Carsten Lund, Mikkel Thorup, VLDB 2009, https://doi.org/10.14778/1687627.1687677
Network Performance Anomaly Detection and Localization, Paul Barford, Nick Duffield, Amos Ron, Joel Sommers, IEEE INFOCOM 2009, https://doi.org/10.1109/INFCOM.2009.5062053
Rule-Based Anomaly Detection on IP Flows, Nick Duffield, Patrick Haffner, Balachander Krishnamurthy, Haakon Ringberg, IEEE INFOCOM 2009, https://doi.org/10.1109/INFCOM.2009.5061947
Graph Sampling in Unstructured Peer-to-Peer and Undirected Online Social Networks, Amir H. Rasti, Mojtaba Torkjazi, Reza Rejaie, Nick Duffield, Walter Willinger, Daniel Stutzbach, IEEE INFOCOM 2009 Mini-Conference
One-Way Passive Loss Measurements Using Sampled Flow Statistics, Yu Gu, Lee Breslau, Nick Duffield, Subhabrata Sen IEEE INFOCOM 2009 Mini-Conference, https://doi.org/10.1109/INFCOM.2009.5062264
Stream sampling for variance-optimal estimation of subset sums, Edith Cohen, Nick Duffield, Haim Kaplan, Carsten Lund, Mikkel Thorup, SODA 2009
On Unbiased Sampling for Unstructured Peer-to-Peer Networks, D. Stutzbach, R. Rejaie, N.G. Duffield, S. Sen, W. Willinger, IEEE/ACM Transactions on Networking, Vol.17, No. 2, pp. 377-390, 2009
A Framework for Packet Selection and Reporting, N.G. Duffield (Ed.), D. Chiou, B. Claise, A. Greenberg, M. Grossglauser. J. Rexford, RFC 5474, March 2009.
Sampling and Filtering Techniques for IP Packet Selection , T. Zseby, M. Molina, N.G. Duffield, S. Niccolini, F. Raspall, RFC 5475, March 2009.

2008

Confident Estimation for Multistage Measurement Sampling and Aggregation, Edith Cohen, Nick Duffield, Carsten Lund, Mikkel Thorup, Sigmetrics 2008, https://doi.org/10.1145/1375457.1375471
Temporal Delay Tomography, V. Arya, N.G. Duffield, D. Veitch, IEEE Infocom 2008, Phoenix AZ, April 15-17 2008, https://doi.org/10.1109/INFOCOM.2008.64
GRE Encapsulated Multicast Probing: A Scalable Technique for Measuring One-Way Loss, Y. Gu, L. Breslau, N.G. Duffield, S. Sen, IEEE Infocom 2008, Phoenix AZ, April 15-17 2008, https://doi.org/10.1109/INFOCOM.2008.226
Trajectory sampling with unreliable reporting. IEEE/ACM Trans. Netw. 16(1): 37-50 (2008), Nick Duffield, Matthias Grossglauser:
A Geometric Approach to Improving Active Packet Loss Measurement, J. Sommers, P. Barford, N. Duffield, A. Ron, IEEE/ACM Transactions on Networking, 16(2): 307-320, 2008,

2007

Algorithms and estimators for accurate summarization of internet traffic, Edith Cohen, Nick Duffield, Haim Kaplan, Carsten Lund, Mikkel Thorup, Proceedings of ACM Internet Measurement Conference, October, 2007, https://doi.org/10.1145/1298306.1298344
Multicast Inference of Temporal Loss Characteristics, V. Arya, N.G. Duffield, D. Veitch, in Proceedings Performance 2007
Sketching Unaggregated Data Streams for Subpopulation-Size Queries, Edith Cohen, Nick Duffield, Haim Kaplan, Carsten Lund, Mikkel Thorup, Proceedings ACM PODS 2007, https://doi.org/10.1145/1265530.1265566
Accurate and Efficient Network-wide SLA Compliance Monitoring, J. Sommers, P. Barford, N.G. Duffield, A. Ron, Proceedings of ACM SIGCOMM, August, 2007, https://doi.org/10.1145/1282380.1282394
A Framework for Multi-objective SLA Compliance Monitoring. J. Sommers, P. Barford, N.G. Duffield, A. Ron, Proceedings of IEEE INFOCOM (Minisymposium), May 2007, https://doi.org/10.1109/INFCOM.2007.298
Measurement Informed Route Selection N.G. Duffield, K. Gopalan, M. Hines, A Shaikh, J.E. van der Merwe, Extended Abstract, Passive and Active Measurement Conference, Louvain-la-neuve, Belgium, April 5 – 6, 200
GRE Encapsulated Multicast Probing: A Scalable Technique for Measuring One-Way Loss, Y. Gu, L. Breslau, N.G. Duffield, S. Sen, Extended Abstract in Proceedings Sigmetrics 2007
Priority Sampling for Estimation of Arbitrary Subset Sums, N.G. Duffield, C. Lund, M. Thorup, Journal of the ACM, Volume 54, Issue 6, Article No. 32, December 2007

2006

Network Tomography of Binary Network Performance Characteristics, N.G. Duffield, IEEE Transactions on Information Theory, vol. 52, pp. 5373-5388, 2006. https://doi.org/10.1109/TIT.2006.885460
Explicit loss inference in multicast tomography, N.G. Duffield, J. Horowitz, F. Lo Presti, D. Towsley, IEEE Transactions on Information Theory, vol. 52, pp. 3852-3855, 2006
Network Loss Tomography Using Striped Unicast Probes, N.G. Duffield, F. Lo Presti, V. Paxson, D. Towsley, IEEE/ACM Transactions on Networking, vol. 14, pp 697-710, 2006
On Unbiased Sampling for Unstructured Peer-to-Peer Networks, D. Stutzbach, R. Rejaie, N. Duffield, S. Sen, W. Willinger, IMC 2006, https://doi.org/10.1145/1177080.1177084
Adaptive Defense Against Various Network Attacks, (Extended Version). C. Zou, N.G. Duffield, D. Towsley, W. Gong, IEEE JSAC, vol. 24, no.10, pp.1877-1888, 2006
VMScope-A Virtual Multicast VPN Performance Monitor, L. Breslau, C. Chase, N.G. Duffield, W. Fenner,Yan Mao, S. Sen, SIGCOMM, Internet Network Management Workshop, 2006.
LADS: Large-scale Automated DDoS detection System, V. Sekar, N.G. Duffield, O. Spatscheck, J. van der Merwe, Hui Zhang, USENIX Annual Technical Conference 2006
Sampling Techniques for Large, Dynamic Graphs, D. Stutzbach, R. Rejaie, N.G. Duffield, S. Sen, W.Willinger, Global Internet Symposium, April 2006., https://doi.org/10.1109/INFOCOM.2006.39

2005

Optimal Combination of Sampled Network Measurements, N.G. Duffield, C. Lund, M. Thorup, Internet Measurement Conference (IMC 2005), New Orleans, LA, October 19–21, 2005, https://dl.acm.org/doi/10.5555/1251086.1251094
A Comparative Experimental Study of Hash Functions Applied to Packet Sampling, M. Molina, S. Niccolini, N.G. Duffield, ITC-19, Beijing, 2005
Network tomography from aggregate loss reports, N.G. Duffield, V. Arya, R. Bellino, T. Friedman, J. Horowitz, D. Towsley, T. Turletti, Performance 2005, Juan-les-Pins, October 3-7, 2005.
Stress Testing Traffic to Infer Its Legitimacy, N.G. Duffield and B. Krishnamurthy, SRUTI 2005 Workshop (Steps to Reducing Unwanted Traffic on the Internet), Cambridge, MA, July 7-8, 2005.
Adaptive defense against various network attacks, C. Zou, N.G. Duffield, D. Towsley, W. Gong, SRUTI 2005 Workshop (Steps to Reducing Unwanted Traffic on the Internet), Cambridge, MA, July 7-8, 2005.
Improving accuracy in end-to-end packet loss measurements, J. Sommers, P. Barford, N.G. Duffield, A. Ron, , ACM SIGCOMM 2005, https://doi.org/10.1145/1080091.1080111
Estimating sums of arbitrary selections with few probes, N. Alon, N.G. Duffield, C. Lund, M. Thorup, PODS 2005, https://doi.org/10.1145/1065167.1065209
Learn more, sample less: control of volume and variance in network measurement, N.G. Duffield, C. Lund, M. Thorup, IEEE Transactions in Information Theory, vol. 51, no. 5, pp. 1756-1775, 2005.
Low Feedback MINC Loss Tomography, V. Arya, T. Turletti, T. Friedman, R. Bellino, N.G. Duffield, IEEE Infocom Student Workshop, 2005
Traffic Matrix Reloaded: Impact of Routing Changes, R. Teixeira, N.G. Duffield, J. Rexford, M. Roughan, Passive and Active Measurement Conference, PAM 2005, https://doi.org/10.1007/978-3-540-31966-5_20
Estimating flow distributions from sampled flow statistics, N.G. Duffield, C. Lund, M. Thorup, IEEE/ACM Transactions on Networking

2004

Sampling for Passive Internet Measurement: A Review, N.G. Duffield, Statistical Science,Vol. 19, No. 3, 472-498, 2004.
Online Identification of Hierarchical Heavy Hitters: Algorithms, Evaluation, and Applications, Y. Zhang, S. Singh, S. Sen, N.G. Duffield, C. Lund, Proc Internet Measurement Conference 2004, Taormina, Sicily, Italy, October 25-27, 2004, https://doi.org/10.1145/1028788.1028802
Class of Service Mapping for QoS: A statistical signature based approach to IP traffic classification, M. Roughan, S. Sen, O. Spatscheck, N.G. Duffield, Proc Internet Measurement Conference 2004, Taormina, Sicily, Italy, October 25-27, 2004, https://doi.org/10.1145/1028788.1028805
Trajectory Sampling with Unreliable Reporting, N.G. Duffield and M.Grossglauser, IEEE Infocom 2004, Hong Kong, March 7-11, 2004, https://doi.org/10.1109/INFCOM.2004.1354570
Flow Sampling Under Hard Resource Constraints, N.G. Duffield, C. Lund, M. Thorup, Sigmetrics 2004, https://doi.org/10.1145/1005686.1005699
Network Tomography from Measured End-to-End Delay Covariance, N.G. Duffield and F. Lo Presti, IEEE/ACM Transactions on Networking, vol. 12(6), pp. 978-992, 2004
Allocating commodity resources in aggregate traffic networks. N.G. Duffield & S. Low, Performance Evaluation, vol. 57(3), pp. 279-306, 2004.
RTP Control Protocol Extended Reports (RTCP XR), T. Friedman (Ed.), R. Caceres (Ed.), A Clark (Ed.), K. Almeroth, R. Cole, N.G. Duffield, K. Hedayat, K. Sarac, M. Westerlund, RFC 3611, October 2004

2003

Trajectory Sampling: White Paper, N.G. Duffield and M. Grossglauser.(2003)
Estimating flow distributions from sampled flow statistics, N.G. Duffield, C. Lund, M. Thorup, ACM Sigcomm 2003, Karlsruhe, Germany, August 25-29, 2003. https://doi.org/10.1145/863955.863992
Predicting Resource Usage and Estimation Accuracy in an IP Flow Measurement Collection Infrastructure, N.G. Duffield and C. Lund, ACM SIGCOMM Internet Measurement Conference 2003, Miami Beach, Fl, October 27-29, 2003, https://doi.org/10.1145/948205.948228
Fast Accurate Computation of Large-Scale IP Traffic Matrices from Link Loads, Y. Zhang, M. Roughan, N.G. Duffield, A. Greenberg, ACM Sigmetrics 2003 (ACM Sigmetrics Test-of-Time Award 2013). https://doi.org/10.1145/781027.781053
Simple Network Performance Tomography, N.G. Duffield, ACM SIGCOMM Internet Measurement Conference 2003, Miami Beach, Fl, October 27-29, 2003, https://doi.org/10.1145/948205.948232

2002

Trajectory Engine: A Backend for Trajectory Sampling, N.G. Duffield, A. Gerber, M. Grossglauser, IEEE Network Operations and Management Symposium 2002, Florence, Italy, April 15-19, 2002, https://doi.org/10.1109/NOMS.2002.1015600
Properties and Prediction of Flow Statistics from Sampled Packet Streams, N.G. Duffield, C. Lund, M. Thorup, ACM SIGCOMM Internet Measurement Workshop 2002, Marseille, France, November 6-8, 2002, https://doi.org/10.1145/637201.637225
Multicast topology inference from measured end-to-end loss, N.G. Duffield, J. Horowitz, F. Lo Presti, D. Towsley, IEEE Transactions in Information Theory, vol. 48, pp. 26-45, 2002
Multicast-based loss inference with missing data, N.G. Duffield, J. Horowitz, D. Towsley, W. Wei, T. Friedman, IEEE Journal on Selected Areas in Communications,vol. 20, pp.700-713, 2002.
Impromptu measurement infrastructures using RTP, R. Caceres, N.G. Duffield, T. Friedman, Proc. IEEE Infocom 2002, New York, June 23-27, 2002, https://doi.org/10.1109/INFCOM.2002.1019400
Network tomography on general topologies, T. Bu, N. Duffield, F. Lo Presti, D. Towsley, Proceedings ACM Sigmetrics 2002, Marina Del Rey, CA, June 15-19, 2002. (ACM Sigmetrics Test-of-Time Award 2012). https://doi.org/10.1145/511334.511338
Multicast-Based Inference of Network-Internal Delay Distributions, F. Lo Presti, N.G. Duffield, J. Horowitz, D. Towsley, IEEE/ACM Transactions on Networking, vol. 10, pp. 761-775, 2002
Resource management with hoses: point-to-cloud services for virtual private networks, N.G. Duffield, P. Goyal, A.G. Greenberg, P.P. Mishra, K.K. Ramakrishnan , Jacobus E. van der Merwe, IEEE/ACM Transactions on Networking, November 2002.

2001

Charging from sampled network usage, N.G. Duffield, C. Lund, M. Thorup, ACM SIGCOMM Internet Measurement Workshop 2001, San Francisco, CA, November 1-2, 2001, https://doi.org/10.1145/505202.505232
On the Constancy of Internet Path Properties, Y. Zhang, N.G. Duffield, V. Paxson, S. Shenker, ACM SIGCOMM Internet Measurement Workshop 2001, San Francisco, CA, November 1-2, 2001, https://doi.org/10.1145/505202.505228
Inferring link loss using striped unicast probes, N.G. Duffield, F. Lo Presti, V. Paxson, D. Towsley, in Proc. IEEE Infocom 2001, Anchorage, Alaska, April 22-26, 2001, https://doi.org/10.1109/INFCOM.2001.916283
Adaptive multicast topology inference, N.G. Duffield, J. Horowitz, F. Lo Presti, in Proc. IEEE Infocom 2001, Anchorage, Alaska, April 22-26, 2001, https://doi.org/10.1109/INFCOM.2001.916660
Network Delay Tomography from End-to-end Unicast Measurements, N.G. Duffield, J. Horowitz, F. Lo Presti, D.Towsley, Proc. of the 2001 International Workshop on Digital Communications 2001- Evolutionary Trends of the Internet, Taormina, Italy, September 17-20, 2001, https://doi.org/10.1007/3-540-45400-4_37
A nonstationary offered load model for packet networks, N.G. Duffield, W. Massey & W. Whitt, Telecommunications Systems, vol. 16, pp. 271-296, 2001.
Trajectory Sampling for Direct Traffic Observation, N.G. Duffield and M. Grossglauser, IEEE/ACM Transactions on Networking, v. 9 no. 3 (June 2001) pp. 280-292. Earlier version appeared in: Proceedings ACM SIGCOMM’2000, Computer Communications Review, Vol 30, No 4, October 2000, pp. 271–282. https://doi.org/10.1145/347059.347555

2000

Measurement and Analysis of IP Network Usage and Behavior, R. Caceres, N.G. Duffield, A. Feldmann, J. Friedmann, A. Greenberg, R. Greer, T. Johnson, C. Kalmanek, B.Krishnamurthy, D. Lavelle, P.P. Mishra, K.K. Ramakrishnan, J. Rexford, F. True, and J.E. van der Merwe, IEEE Communications Magazine, May 2000.
Multicast Inference of Packet Delay Variance at Interior Network Links, N.G. Duffield, F. Lo Presti, in Proc. IEEE Infocom 2000, Tel Aviv, Israel, March 26-30, 2000, https://doi.org/10.1109/INFCOM.2000.832532
The Use of End-to-End Multicast Measurements for Characterizing Internal Network Behavior, A. Adams, T. Bu, R. Caceres, N.G. Duffield, T. Friedman, J. Horowitz, F. Lo Presti, S.B. Moon, V. Paxson, D. Towsley, IEEE Communications Magazine, May 2000
Multicast Topology Inference from End-to-end Measurements, N.G. Duffield, J. Horowitz, F. Lo Presti, D. Towsley, Advances in Performance Analysis, vol. 3, pp. 207-226, 2000. Earlier version appeared in Proc. IP Traffic Measurement, Modeling and Management, Monterey, CA, September 18-20, 2000.
A large deviation analysis of errors in measurement based admission control to buffered and bufferless resources, N.G. Duffield, Queueing Systems, vol. 34, pp.131-168, 2000.
Feedback of rate and loss information for networked video, N.G. Duffield, K.K. Ramakrishnan, in: “Compressed Video over Networks”, Eds. M.-T. Sun and A.R. Reibman, Marcel–Dekker, 2000.

1999

Multicast-Based Inference of Network-Internal Characteristics: Accuracy of Packet Loss Estimation, R. Caceres, N.G. Duffield, J. Horowitz, D. Towsley, T. Bu, in Proc. IEEE Infocom’99, New York, 23-25 March, 1999, https://doi.org/10.1109/INFCOM.1999.749304
Multicast-based inference of network-internal loss characteristics, R. Caceres, N.G. Duffield, J. Horowitz and D. Towsley, IEEE Transactions in Information Theory, vol. 45, pp. 2462-2480, 1999.
Inference of Internal Loss Rates in the MBone, R. Caceres, N.G. Duffield, S. B. Moon, and D. Towsley, in Proc. IEEE/ISOC Global Internet ’99, December 1999.
Loss-based Inference of Multicast Network Topology, R. Caceres, N.G. Duffield, J. Horowitz, F. Lo Presti, D. Towsley, in Proc. 1999 IEEE Conference on Decision and Control, Phoenix, AZ, December 1999.
Distrust and Privacy: Axioms for Multicast Congestion Control, N.G. Duffield, M. Grossglauser, K.K. Ramakrishnan, NOSSDAV’99, Bedminster, NJ, July, 1999.
Network Design and Control Using On/Off and Multi-Level Source Traffic Models with Heavy-Tailed Distributions. In: Self-Similar Traffic and Performance Evaluation, Wiley Interscience, 1999
Asymptotic Sampling Properties of Effective Bandwidth Estimation for Admission Control, N.G. Duffield, IEEE Infocom’99, New York, 23-25 March, 1999, https://doi.org/10.1109/INFCOM.1999.752175
A flexible model for resource management in virtual private networks, N.G. Duffield, P. Goyal, A. Greenberg, P.P. Mishra, K.K. Ramakrishnan, J. E van der Merve. In: Proceedings ACM SIGCOMM’99, Computer Communication Review, Vol 29, No 4, October 1999, pp. 95-108. https://doi.org/10.1145/316188.316209

1998

The cost of quality in networks of aggregate traffic. N.G. Duffield & S. Low, pp525-532, INFOCOM’ 98, San Francisco, April 1998, https://doi.org/10.1109/INFCOM.1998.665070
SAVE: an algorithm for smoothed adaptive video over explicit rate networks. N.G. Duffield, K.K. Ramakrishnan & A.R. Reibman, IEEE Transactions on Networking, vol. 6, pp. 717-728, 1998. Earlier version appeared in Proceedings of INFOCOM’ 98, San Francisco, April 1998, https://doi.org/10.1109/INFCOM.1998.662919
Issues of quality and multiplexing when smoothing rate adaptive video. N.G. Duffield, K.K. Ramakrishnan & A.R. Reibman, IEEE Transactions on Multimedia, 1999. Earlier version appeared in Proceedings of NOSSDAV’98, Cambridge, UK, July, 1998.
On adaptive bandwidth sharing with rate guarantees. N.G. Duffield, T.V. Lakshman & D. Stiliadis, Proceedings of IEEE INFOCOM’ 98, San Francisco, April 1998, pp1122-1130, https://doi.org/10.1109/INFCOM.1998.662924
Adapting Fair Queueing to Improve Loss, Delay, and Admission Control Performance, N.G. Duffield, T.V. Lakshman & D. Stiliadis, NOSSDAV’98, Cambridge, UK, July, 1998.
A source traffic model and its transient analysis for network control. N.G. Duffield & W. Whitt, Stochastic Models, 14, 51-78 (1998)
Large deviations of inversely related processes with non-linear scalings. N.G. Duffield & W. Whitt. (1998) Annals of Applied Probability, 8, 995–1026 (1998)
Queueing at large resources driven by long-tailed M/G/infty-modulated processes, N.G. Duffield, Queueing Systems, 28, 245-266 (1998)
Conditioned asymptotics for tail probabilities in large multiplexers. N.G. Duffield, Performance Evaluation, 31, 281-300, (1998).

1997

Control and recovery from rare congestion events in a large multi-server system. N.G. Duffield & W.Whitt, Queueing Systems, 26, 69-104 (1997)
Recovery from rare events in a large multi-server system 15th International Teletraffic Congress, Washington, June 23-27, 1997). Plenary session talk.
Economies of scale for long-range dependent traffic in short buffers. N.G. Duffield. Telecommunications Systems, 7, 267-280 (1997).
Exponents for the tails of distributions in some polling models. N.G. Duffield.Queueing Systems, 26, 105-119 (1997).
The branchng diffusion approximation for a model of a synchronised queueing network. N.G. Duffield, M.Kelbert and Y.M.Suhov. In: The Lipster Festschrift, Statistics and Control of Stochastic Processes, Steklov Mathematical Institute 1995 – 1996, edsYu M Kabanov, B L Rozovskii & A N Shiryaev. Singapore:World Scientific (1997)
Using the AT&T WorldNet PacketScope for internet measurement, design, and performance analysis, N.Anerousis, R. Caceres, N.G. Duffield, A. Feldmann, A.G. Greenberg, C.R. Kalmanek, P.P.Mishra, K.K. Ramakrishnan, J.L.Rexford (1997) AT&T Services & Infrastructure Performance Symposium, November 1997
Predicting QoS parameters for ATM traffic using shape-function estimation. C. Walsh and N. G. Duffield, Proceedings of the 14th UK
Teletraffic Symposium, 1997

1996

Economies of scale in queues with sources having power-law large deviation scalings. N.G. Duffield. J. Appl. Prob., 33, 840-857 (1996).
On the relevance of long-tailed durations for the statistical multiplexing of large aggregations. N.G. Duffield. In: Proceedings of the 34th Annual Allerton Conference on Communication, Control and Computation, October 2-4 (1996).
A branching diffusion approximation for a class of queueing networks. N.G. Duffield, M.Kelbert and Y.M.Suhov. Stochastic Analysis and Applications: 5th Gregynog Symposium. Gregynog, Powys, 9-14 July, 1995. (Eds. I.M.Davies, A.Truman, K.D.Elworthy). Singapore: World Scientific, pp 201-220, (1996);

1995

Large deviations and overflow probabilities for the general single server queue, with applications. N.G. Duffield & Neil O’Connell. Math. Proc. Cam. Phil. Soc., 118, 363-374 (1995). https://doi.org/10.1017/S0305004100073709
Large deviations, economies of scale, and the shape of the loss curve in large multiplexers. D.D. Botvich & N.G. Duffield. Queueing Systems., 20, 293-320 (1995).
Economies of scale in long and short buffers of large multiplexers. D.D. Botvich, T.J. Corcoran, N.G. Duffield & P. Farrell. Proceedings of 12th IEE UK Teletraffic Symposium, Windsor, 15-17 March 1995, IEE London (1995)
Predicting Quality of Service for traffic with long-range fluctuations. N.G. Duffield, J.T. Lewis, Neil O’Connell, Raymond Russell & Fergal Toomey. Proceedings of IEEE International Conference on Communications, Seattle, 18-22 June, 1995, pp473-477.
Entropy of ATM traffic streams: a tool for estimating quality of service parameters. N.G. Duffield, J.T. Lewis, Neil O’Connell, Raymond Russell & Fergal Toomey. IEEE Journal on Selected Areas in Communications, 13, 981-990 (1995). https://doi.org/10.1109/49.400654
Estimating QoS parameters for ATM traffic using its entropy. N.G. Duffield, J.T. Lewis, Neil O’Connell, Raymond Russell & F. Toomey. In: Performance Modelling and Evaluation of ATM Networks, Volume 1, pp411-427, Chapman & Hall, London, (1995).
Fast bounds for ATM Quality of Service parameters. N.G. Duffield, M. Huggard, R. Russell, F. Toomey & C. Walsh. Proceedings of 12th IEE UK Teletraffic Symposium. Windsor, 15-17 March 1995, IEE London (1995)
Allocating bandwidth from traffic descriptors of ATM traffic. D.D. Botvich, T. Curran, N.G. Duffield & S. Murphy. Proceedings of the 3rd workshop on performance modelling and evaluation of ATM networks, Bradford, 3-5 July. (1995)

1994

Large deviations for arrivals, departures and overflow in some queues of interacting traffic. N.G. Duffield & N. O’Connell. Proceedings of 11th IEE UK Teletraffic Symposium. Cambridge, March 1994, IEE London (1994)
Statistical issues raised by the Bellcore data. N.G. Duffield, J.T. Lewis, N. O’Connell, R. Russell & F. Toomey. Proceedings of 11th IEE UK Teletraffic Symposium. Cambridge, March 1994, IEE London (1994)
The entropy of an arrival process: a tool for estimating QoS parameters of ATM traffic. N.G. Duffield, J.T. Lewis, N. O’Connell, R. Russell & F. Toomey. Proceedings of 11th IEE UK Teletraffic Symposium. Cambridge, March 1994, IEE London (1994).
Exponential upper bounds via martingales for multiplexers with Markovian arrivals. E.Buffet & N.G. Duffield. J. Appl. Prob., 31, 1049-1061 (1994)
Exponential bounds for queues with Markovian arrivals. N.G. Duffield. Queueing Systems, 17, 413-430 (1994)

1992

Local mean-field Markov processes: an application to message-switching networks. N.G. Duffield. Prob. Theory Relat. Fields., 93, 485-505 (1992).
Microscopic and macroscopic limiting dynamics of a class of inhomogeneous mean-field quantum systems. N.G. Duffield, H. Roos & R.F. Werner. Ann. Inst. H. Poincare: Physique Theorique, 56, 143-186 (1992)
Classical hamiltonian dynamics for quantum hamiltonian mean-field limits. N.G. Duffield & R.F. Werner. In: Stochastics and Quantum Mechanics, (Eds. I.M.Davies & A.Truman). Singapore: World Scientific, pp115-129 (1992).
Local dynamics of mean-field quantum systems. N.G. Duffield & R.F. Werner. Helv. Phys. Acta, 65, 1016-1054 (1992)
Mean-field dynamical semigroups on C*-algebras. N.G. Duffield & R.F. Werner. Rev. Math. Phys., 4, 383-424 (1992)

1991

Local correlation functions for mean-field dynamical semigroups on C*-algebras. N.G. Duffield. Helv. Phys. Acta., 64, 610-632 (1991)

1990

A large deviation principle for the decomposition of product representations. N.G. Duffield. Proc. Am. Math. Soc., 109, 503-515 (1990).
Classical and thermodynamic limits of generalized quantum spin systems. N.G. Duffield. Commun. Math. Phys., 127, 27-39 (1990).

1989

Thermodynamics and phase transitions in the Overhauser model. N.G. Duffield & J.V. Pule. J. Stat. Phys., 54, 449-475 (1989).
The thermodynamics of site-random mean-field quantum spin systems. N.G. Duffield & R. Kuehn. J. Phys. A.: Math., Gen. 22, 4643-4658 (1989).

1988

A new method for the thermodynamics of the B.C.S. model. N.G. Duffield & J.V. Pule. Commun. Math. Phys., 118, 475-494 (1988)
Global stability of condensation in the continuum limit for H. Froehlich’s pumped phonon system. N.G. Duffield. J. Phys. A: Math. Gen., 21, 625-641 (1988).
The continuum limit of dissipative dynamics in H. Froehlich’s pumped phonon system. N.G. Duffield. Helv. Phys. Acta, 61, 363-378 (1988)

1987

Thermodynamics of the B.C.S. model through large deviations. N.G. Duffield & J.V. Pule Lett. Math. Phys., 14, 329-331 (1987).

1985

Stability of Bose-Einstein condensation in H. Froehlich’s pumped phonon system. N.G. Duffield. Phys. Lett., A110, 332-334 (1985).