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ORCIDNick G. Duffield
Nick Duffield – Nicholas Duffield
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2020 – today
- 2024
[j55]Diya Li, Zhe Zhang
, Bahareh Alizadeh Kharazi, Ziyi Zhang, Nick Duffield, Michelle A. Meyer, Courtney M. Thompson, Huilin Gao, Amir H. Behzadan:
A reinforcement learning-based routing algorithm for large street networks. Int. J. Geogr. Inf. Sci. 38(2): 183-215 (2024)- [j54]Haoyu Niu, Janvita Reddy Peddagudreddygari, Mahendra Bhandari, Juan Landivar, Craig W. Bednarz, Nick Duffield:
In-Season Cotton Yield Prediction with Scale-Aware Convolutional Neural Network Models and Unmanned Aerial Vehicle RGB Imagery. Sensors 24(8): 2432 (2024) - [j53]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 Inform. 3(1): 9 (2024) - [c100]Ziyi Zhang, Shaogang Ren, Xiaoning Qian, Nick Duffield:
Learning Flexible Time-windowed Granger Causality Integrating Heterogeneous Interventional Time Series Data. KDD 2024: 4408-4418 - [c99]Ziyi Zhang, Shaogang Ren, Xiaoning Qian, Nick Duffield:
Towards Invariant Time Series Forecasting in Smart Cities. WWW (Companion Volume) 2024: 1344-1350 - [i33]Peiman Mohseni, Nick Duffield:
Spectral Convolutional Conditional Neural Processes. CoRR abs/2404.13182 (2024) - [i32]Ziyi Zhang, Shaogang Ren, Xiaoning Qian, Nick Duffield:
Towards Invariant Time Series Forecasting in Smart Cities. CoRR abs/2405.05430 (2024) - [i31]Ziyi Zhang, Shaogang Ren, Xiaoning Qian, Nick Duffield:
Learning Flexible Time-windowed Granger Causality Integrating Heterogeneous Interventional Time Series Data. CoRR abs/2406.10419 (2024) - 2023
- [c98]Ziyi Zhang, Diya Li, Zhenlei Song, Nick Duffield, Zhe Zhang:
Location-Aware Social Network Recommendation via Temporal Graph Networks. LocalRec@SIGSPATIAL 2023: 58-61 - [c97]Peiman Mohseni, Nick Duffield, Bani K. Mallick, Arman Hasanzadeh:
Adaptive Conditional Quantile Neural Processes. UAI 2023: 1445-1455 - [i30]Peiman Mohseni, Nick Duffield, Bani K. Mallick, Arman Hasanzadeh:
Adaptive Conditional Quantile Neural Processes. CoRR abs/2305.18777 (2023) - 2022
- [j52]Binbin Lin, Lei Zou, Nick Duffield, Ali Mostafavi, Heng Cai, Bing Zhou, Jian Tao, Mingzheng Yang, Debayan Mandal, Joynal Abedin:
Revealing the linguistic and geographical disparities of public awareness to Covid-19 outbreak through social media. Int. J. Digit. Earth 15(1): 868-889 (2022) - [c96]Arman Hasanzadeh, Ehsan Hajiramezanali, Nick Duffield, Xiaoning Qian:
MoReL: Multi-omics Relational Learning. ICLR 2022 - [c95]Yixiao Feng, Nick Duffield:
Multiscale Energy Network Tomography. IFIP Networking 2022: 1-9 - [c94]Yunhong Xu, Keqiang He, Rui Wang, Minlan Yu, Nick Duffield, Hassan M. G. Wassel, Shidong Zhang, Leon Poutievski, Junlan Zhou, Amin Vahdat:
Hashing Design in Modern Networks: Challenges and Mitigation Techniques. USENIX ATC 2022: 805-818 - [i29]Arman Hasanzadeh, Ehsan Hajiramezanali, Nick Duffield, Xiaoning Qian:
MoReL: Multi-omics Relational Learning. CoRR abs/2203.08149 (2022) - 2021
- [j51]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) - [c93]Sourav Panda, Yixiao Feng, Sameer G. Kulkarni, K. K. Ramakrishnan, Nick Duffield, Laxmi N. Bhuyan:
SmartWatch: accurate traffic analysis and flow-state tracking for intrusion prevention using SmartNICs. CoNEXT 2021: 60-75 - [c92]Ziyi Zhang, Diya Li, Zhe Zhang, Nicholas Duffield:
A time-series clustering algorithm for analyzing the changes of mobility pattern caused by COVID-19. HANIMOB@SIGSPATIAL 2021: 13-17 - [i28]Binbin Lin, Lei Zou, Nick Duffield, Ali Mostafavi, Heng Cai, Bing Zhou, Jian Tao, Mingzheng Yang, Debayan Mandal, Joynal Abedin:
Revealing the Global Linguistic and Geographical Disparities of Public Awareness to Covid-19 Outbreak through Social Media. CoRR abs/2111.03446 (2021) - [i27]Arman Hasanzadeh, Mohammadreza Armandpour, Ehsan Hajiramezanali, Mingyuan Zhou, Nick Duffield, Krishna Narayanan:
Bayesian Graph Contrastive Learning. CoRR abs/2112.07823 (2021) - 2020
- [j50]David S. Johnson, Lee Breslau, Ilias Diakonikolas, Nick Duffield, Yu Gu, MohammadTaghi Hajiaghayi, Howard J. Karloff, Mauricio G. C. Resende, Subhabrata Sen:
Near-Optimal Disjoint-Path Facility Location Through Set Cover by Pairs. Oper. Res. 68(3): 896-926 (2020) - [j49]Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang:
Micro- and macro-level churn analysis of large-scale mobile games. Knowl. Inf. Syst. 62(4): 1465-1496 (2020) - [c91]Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna Narayanan, Mingyuan Zhou, Xiaoning Qian:
Semi-Implicit Stochastic Recurrent Neural Networks. ICASSP 2020: 3342-3346 - [c90]Hanzi Mao, Xi Liu, Nick Duffield, Hao Yuan, Shuiwang Ji, Binayak P. Mohanty:
Context-aware Deep Representation Learning for Geo-spatiotemporal Analysis. ICDM 2020: 392-401 - [c89]Arman Hasanzadeh, Ehsan Hajiramezanali, Shahin Boluki, Mingyuan Zhou, Nick Duffield, Krishna Narayanan, Xiaoning Qian:
Bayesian Graph Neural Networks with Adaptive Connection Sampling. ICML 2020: 4094-4104 - [c88]Yixiao Feng, Sourav Panda, Sameer G. Kulkarni, K. K. Ramakrishnan, Nick Duffield:
A SmartNIC-Accelerated Monitoring Platform for In-band Network Telemetry. LANMAN 2020: 1-6 - [c87]Yunhong Xu, Hao Wu, Nick Duffield, Bin Liu, Minlan Yu:
Poster: CO2: Collaborative Packet Classification for Network Functions with Overselection. Networking 2020: 619-621 - [c86]Nesreen K. Ahmed, Nick Duffield:
Adaptive Shrinkage Estimation for Streaming Graphs. NeurIPS 2020 - [c85]Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna Narayanan, Xiaoning Qian:
BayReL: Bayesian Relational Learning for Multi-omics Data Integration. NeurIPS 2020 - [i26]Arman Hasanzadeh, Ehsan Hajiramezanali, Shahin Boluki, Mingyuan Zhou, Nick Duffield, Krishna Narayanan, Xiaoning Qian:
Bayesian Graph Neural Networks with Adaptive Connection Sampling. CoRR abs/2006.04064 (2020) - [i25]Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna R. Narayanan, Xiaoning Qian:
BayReL: Bayesian Relational Learning for Multi-omics Data Integration. CoRR abs/2010.05895 (2020)
2010 – 2019
- 2019
- [j48]Thomas Bonald, Nick Duffield:
Editorial. Proc. ACM Meas. Anal. Comput. Syst. 3(2): 20:1-20:2 (2019) - [c84]Arman Hasanzadeh, Xi Liu, Nick Duffield, Krishna R. Narayanan:
Piecewise Stationary Modeling of Random Processes Over Graphs With an Application to Traffic Prediction. IEEE BigData 2019: 3779-3788 - [c83]Ehsan Hajiramezanali, Arman Hasanzadeh, Krishna R. Narayanan, Nick Duffield, Mingyuan Zhou, Xiaoning Qian:
Variational Graph Recurrent Neural Networks. NeurIPS 2019: 10700-10710 - [c82]Arman Hasanzadeh, Ehsan Hajiramezanali, Krishna R. Narayanan, Nick Duffield, Mingyuan Zhou, Xiaoning Qian:
Semi-Implicit Graph Variational Auto-Encoders. NeurIPS 2019: 10711-10722 - [c81]Xi Liu, Ping-Chun Hsieh, Nick Duffield, Rui Chen, Muhe Xie, Xidao Wen:
Real-Time Streaming Graph Embedding Through Local Actions. WWW (Companion Volume) 2019: 285-293 - [e1]Erich M. Nahum, Thomas Bonald, Nick Duffield:
Abstracts of the 2019 SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems, Phoenix, AZ, USA, June 24-28, 2019. ACM 2019, ISBN 978-1-4503-6678-6 [contents] - [i24]Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang:
Micro- and Macro-Level Churn Analysis of Large-Scale Mobile Games. CoRR abs/1901.06247 (2019) - [i23]Nesreen K. Ahmed, Nick Duffield:
Network Shrinkage Estimation. CoRR abs/1908.01087 (2019) - [i22]Mahmood Ettehad, Nick Duffield, Gregory Berkolaiko:
Optimizing Consistent Merging and Pruning of Subgraphs in Network Tomography. CoRR abs/1908.03519 (2019) - [i21]Arman Hasanzadeh, Ehsan Hajiramezanali, Nick Duffield, Krishna R. Narayanan, Mingyuan Zhou, Xiaoning Qian:
Semi-Implicit Graph Variational Auto-Encoders. CoRR abs/1908.07078 (2019) - [i20]Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna R. Narayanan, Mingyuan Zhou, Xiaoning Qian:
Variational Graph Recurrent Neural Networks. CoRR abs/1908.09710 (2019) - [i19]Nesreen K. Ahmed, Nick Duffield, Ryan A. Rossi:
Temporal Network Sampling. CoRR abs/1910.08657 (2019) - [i18]Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna R. Narayanan, Mingyuan Zhou, Xiaoning Qian:
Semi-Implicit Stochastic Recurrent Neural Networks. CoRR abs/1910.12819 (2019) - 2018
- [c80]Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang:
A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games. ICDM 2018: 277-286 - [c79]Nesreen K. Ahmed, Nick G. Duffield, Liangzhen Xia:
Sampling for Approximate Bipartite Network Projection. IJCAI 2018: 3286-3292 - [i17]Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang:
A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games. CoRR abs/1808.06573 (2018) - [i16]Xi Liu, Ping-Chun Hsieh, Nick Duffield, Rui Chen, Muhe Xie, Xidao Wen:
Streaming Network Embedding through Local Actions. CoRR abs/1811.05932 (2018) - 2017
- [j47]Nesreen K. Ahmed, Jennifer Neville, Ryan A. Rossi, Nick G. Duffield, Theodore L. Willke:
Graphlet decomposition: framework, algorithms, and applications. Knowl. Inf. Syst. 50(3): 689-722 (2017) - [j46]Nesreen K. Ahmed, Nick G. Duffield, Theodore L. Willke, Ryan A. Rossi:
On Sampling from Massive Graph Streams. Proc. VLDB Endow. 10(11): 1430-1441 (2017) - [c78]Nick G. Duffield, Yunhong Xu, Liangzhen Xia, Nesreen K. Ahmed, Minlan Yu:
Stream Aggregation Through Order Sampling. CIKM 2017: 909-918 - [i15]Nesreen K. Ahmed, Nick G. Duffield, Theodore L. Willke, Ryan A. Rossi:
On Sampling from Massive Graph Streams. CoRR abs/1703.02625 (2017) - [i14]Nick G. Duffield, Yunhong Xu, Liangzhen Xia, Nesreen K. Ahmed, Minlan Yu:
Stream Aggregation Through Order Sampling. CoRR abs/1703.02693 (2017) - [i13]Nesreen K. Ahmed, Nick G. Duffield, Liangzhen Xia:
Estimating Node Similarity by Sampling Streaming Bipartite Graphs. CoRR abs/1712.08685 (2017) - 2016
- [j45]Edith Cohen, Graham Cormode, Nick G. Duffield, Carsten Lund:
On the Tradeoff between Stability and Fit. ACM Trans. Algorithms 13(1): 7:1-7:24 (2016) - [c77]Nick G. Duffield, Balachander Krishnamurthy:
Efficient sampling for better OSN data provisioning. Allerton 2016: 861-868 - [i12]David S. Johnson, Lee Breslau, Ilias Diakonikolas, Nick G. Duffield, Yu Gu, MohammadTaghi Hajiaghayi, Howard J. Karloff, Mauricio G. C. Resende, Subhabrata Sen:
Near-Optimal Disjoint-Path Facility Location Through Set Cover by Pairs. CoRR abs/1611.01210 (2016) - [i11]Nick G. Duffield, Balachander Krishnamurthy:
Efficient Sampling for Better OSN Data Provisioning. CoRR abs/1612.04666 (2016) - 2015
- [c76]Nesreen K. Ahmed, Jennifer Neville, Ryan A. Rossi, Nick G. Duffield:
Efficient Graphlet Counting for Large Networks. ICDM 2015: 1-10 - [i10]Nesreen K. Ahmed, Jennifer Neville, Ryan A. Rossi, Nick G. Duffield:
Fast Parallel Graphlet Counting for Large Networks. CoRR abs/1506.04322 (2015) - 2014
- [j44]Edith Cohen, Nick G. Duffield, Haim Kaplan, Carsten Lund, Mikkel Thorup:
Algorithms and estimators for summarization of unaggregated data streams. J. Comput. Syst. Sci. 80(7): 1214-1244 (2014) - [c75]Nick G. Duffield, Jie Wu:
Challenges and opportunities for analysis based research in big data. IPCCC 2014: 1 - [c74]Nesreen K. Ahmed, Nick G. Duffield, Jennifer Neville, Ramana Rao Kompella:
Graph sample and hold: a framework for big-graph analytics. KDD 2014: 1446-1455 - [c73]Graham Cormode, Nick G. Duffield:
Sampling for big data: a tutorial. KDD 2014: 1975 - [i9]Nesreen K. Ahmed, Nick G. Duffield, Jennifer Neville, Ramana Rao Kompella:
Graph Sample and Hold: A Framework for Big-Graph Analytics. CoRR abs/1403.3909 (2014) - 2013
- [j43]Nick G. Duffield, Richard J. Gibbens:
Editorial message from the program chairs. Perform. Evaluation 70(10): 691 (2013) - [j42]Myungjin Lee, Nick G. Duffield, Ramana Rao Kompella:
High-Fidelity Per-Flow Delay Measurements With Reference Latency Interpolation. IEEE/ACM Trans. Netw. 21(5): 1567-1580 (2013) - [c72]Yi-Chao Chen, Gene Moo Lee, Nick G. Duffield, Lili Qiu, Jia Wang:
Event detection using customer care calls. INFOCOM 2013: 1690-1698 - [c71]Yingying Chen, Nick G. Duffield, Patrick Haffner, Wen-Ling Hsu, Guy Jacobson, Yu Jin, Subhabrata Sen, Shobha Venkataraman, Zhi-Li Zhang:
Understanding the complexity of 3G UMTS network performance. Networking 2013: 1-9 - [c70]Wei Dong, Nick G. Duffield, Zihui Ge, Seungjoon Lee, Jeffrey Pang:
Modeling Cellular User Mobility Using a Leap Graph. PAM 2013: 53-62 - [i8]Edith Cohen, Graham Cormode, Nick G. Duffield, Carsten Lund:
On the Tradeoff between Stability and Fit. CoRR abs/1302.2137 (2013) - 2012
- [j41]Yu Jin, Nick G. Duffield, Jeffrey Erman, Patrick Haffner, Subhabrata Sen, Zhi-Li Zhang:
A Modular Machine Learning System for Flow-Level Traffic Classification in Large Networks. ACM Trans. Knowl. Discov. Data 6(1): 4:1-4:34 (2012) - [j40]Myungjin Lee, Nick G. Duffield, Ramana Rao Kompella:
Opportunistic Flow-Level Latency Estimation Using Consistent NetFlow. IEEE/ACM Trans. Netw. 20(1): 139-152 (2012) - [c69]Chi-Yao Hong, Matthew Caesar, Nick G. Duffield, Jia Wang:
Tiresias: Online Anomaly Detection for Hierarchical Operational Network Data. ICDCS 2012: 173-182 - [c68]Myungjin Lee, Nick G. Duffield, Ramana Rao Kompella:
MAPLE: a scalable architecture for maintaining packet latency measurements. Internet Measurement Conference 2012: 101-114 - [c67]Josep Sanjuàs-Cuxart, Pere Barlet-Ros, Nick G. Duffield, Ramana Rao Kompella:
Cuckoo sampling: Robust collection of flow aggregates under a fixed memory budget. INFOCOM 2012: 2751-2755 - [c66]Yu Jin, Nick Duffield, Alexandre Gerber, Patrick Haffner, Wen-Ling Hsu, Guy Jacobson, Subhabrata Sen, Shobha Venkataraman, Zhi-Li Zhang:
Characterizing data usage patterns in a large cellular network. CellNet@SIGCOMM 2012: 7-12 - [c65]Edith Cohen, Graham Cormode, Nick G. Duffield:
Don't let the negatives bring you down: sampling from streams of signed updates. SIGMETRICS 2012: 343-354 - [c64]Nick G. Duffield:
Fair sampling across network flow measurements. SIGMETRICS 2012: 367-378 - [c63]Myungjin Lee, Nick G. Duffield, Ramana Rao Kompella:
A scalable architecture for maintaining packet latency measurements. SIGMETRICS 2012: 391-392 - [i7]Chi-Yao Hong, Matthew Caesar, Nick G. Duffield, Jia Wang:
Tiresias: Online Anomaly Detection for Hierarchical Operational Network Data. CoRR abs/1203.2163 (2012) - [i6]Nick G. Duffield, Al Morton, Joel Sommers:
Loss Episode Metrics for IP Performance Metrics (IPPM). RFC 6534: 1-21 (2012) - 2011
- [j39]Edith Cohen, Graham Cormode, Nick G. Duffield:
Structure-Aware Sampling: Flexible and Accurate Summarization. Proc. VLDB Endow. 4(11): 819-830 (2011) - [j38]Edith Cohen, Nick G. Duffield, Haim Kaplan, Carsten Lund, Mikkel Thorup:
Efficient Stream Sampling for Variance-Optimal Estimation of Subset Sums. SIAM J. Comput. 40(5): 1402-1431 (2011) - [c62]Lee Breslau, Ilias Diakonikolas, Nick G. Duffield, Yu Gu, Mohammad Taghi Hajiaghayi, David S. Johnson, Howard J. Karloff, Mauricio G. C. Resende, Subhabrata Sen:
Disjoint-Path Facility Location: Theory and Practice. ALENEX 2011: 60-74 - [c61]Josep Sanjuàs-Cuxart, Pere Barlet-Ros, Nick G. Duffield, Ramana Rao Kompella:
Sketching the delay: tracking temporally uncorrelated flow-level latencies. Internet Measurement Conference 2011: 483-498 - [c60]Yu Jin, Nick G. Duffield, Alexandre Gerber, Patrick Haffner, Wen-Ling Hsu, Guy Jacobson, Subhabrata Sen, Shobha Venkataraman, Zhi-Li Zhang:
Making sense of customer tickets in cellular networks. INFOCOM 2011: 101-105 - [c59]Joel Sommers, Rhys Alistair Bowden, Brian Eriksson, Paul Barford, Matthew Roughan, Nick G. Duffield:
Efficient network-wide flow record generation. INFOCOM 2011: 2363-2371 - [c58]Yu Jin, Nick G. Duffield, Alexandre Gerber, Patrick Haffner, Wen-Ling Hsu, Guy Jacobson, Subhabrata Sen, Shobha Venkataraman, Zhi-Li Zhang:
Large-scale app-based reporting of customer problems in cellular networks: potential and limitations. W-MUST@SIGCOMM 2011: 13-18 - [c57]Edith Cohen, Graham Cormode, Nick G. Duffield:
Structure-aware sampling on data streams. SIGMETRICS 2011: 197-208 - [i5]Edith Cohen, Graham Cormode, Nick G. Duffield:
Structure-Aware Sampling: Flexible and Accurate Summarization. CoRR abs/1102.5146 (2011) - 2010
- [j37]Joel Sommers, Paul Barford, Nick G. Duffield, Amos Ron:
Multiobjective monitoring for SLA compliance. IEEE/ACM Trans. Netw. 18(2): 652-665 (2010) - [c56]Yu Jin, Nick G. Duffield, Alexandre Gerber, Patrick Haffner, Subhabrata Sen, Zhi-Li Zhang:
NEVERMIND, the problem is already fixed: proactively detecting and troubleshooting customer DSL problems. CoNEXT 2010: 7 - [c55]Amogh Dhamdhere, Lee Breslau, Nick G. Duffield, Cheng Tien Ee, Alexandre Gerber, Carsten Lund, Subhabrata Sen:
Flowroute: inferring forwarding table updates using passive flow-level measurements. Internet Measurement Conference 2010: 315-321 - [c54]Brian Eriksson, Paul Barford, Rhys Alistair Bowden, Nick G. Duffield, Joel Sommers, Matthew Roughan:
BasisDetect: a model-based network event detection framework. Internet Measurement Conference 2010: 451-464 - [c53]Myungjin Lee, Nick G. Duffield, Ramana Rao Kompella:
Two Samples are Enough: Opportunistic Flow-level Latency Estimation using NetFlow. INFOCOM 2010: 2196-2204 - [c52]Myungjin Lee, Nick G. Duffield, Ramana Rao Kompella:
Not all microseconds are equal: fine-grained per-flow measurements with reference latency interpolation. SIGCOMM 2010: 27-38 - [c51]Yu Jin, Nick G. Duffield, Patrick Haffner, Subhabrata Sen, Zhi-Li Zhang:
Inferring applications at the network layer using collective traffic statistics. SIGMETRICS 2010: 351-352 - [c50]Yu Jin, Nick G. Duffield, Patrick Haffner, Subhabrata Sen, Zhi-Li Zhang:
Inferring applications at the network layer using collective traffic statistics. ITC 2010: 1-8
2000 – 2009
- 2009
- [j36]Edith Cohen, Nick G. Duffield, Haim Kaplan, Carsten Lund, Mikkel Thorup:
Composable, Scalable, and Accurate Weight Summarization of Unaggregated Data Sets. Proc. VLDB Endow. 2(1): 431-442 (2009) - [j35]Daniel Stutzbach, Reza Rejaie, Nick G. Duffield, Subhabrata Sen, Walter Willinger:
On unbiased sampling for unstructured peer-to-peer networks. IEEE/ACM Trans. Netw. 17(2): 377-390 (2009) - [c49]Nick G. Duffield, Patrick Haffner, Balachander Krishnamurthy, Haakon Ringberg:
Rule-Based Anomaly Detection on IP Flows. INFOCOM 2009: 424-432 - [c48]Paul Barford, Nick G. Duffield, Amos Ron, Joel Sommers:
Network Performance Anomaly Detection and Localization. INFOCOM 2009: 1377-1385 - [c47]Amir Hassan Rasti, Mojtaba Torkjazi, Reza Rejaie, Nick G. Duffield, Walter Willinger, Daniel Stutzbach:
Respondent-Driven Sampling for Characterizing Unstructured Overlays. INFOCOM 2009: 2701-2705 - [c46]Yu Gu, Lee Breslau, Nick G. Duffield, Subhabrata Sen:
On Passive One-Way Loss Measurements Using Sampled Flow Statistics. INFOCOM 2009: 2946-2950 - [c45]Edith Cohen, Nick G. Duffield, Haim Kaplan, Carsten Lund, Mikkel Thorup:
Stream sampling for variance-optimal estimation of subset sums. SODA 2009: 1255-1264 - [i4]Nick G. Duffield, Derek Chiou, Benoit Claise, Albert G. Greenberg, Matthias Grossglauser, Jennifer Rexford:
A Framework for Packet Selection and Reporting. RFC 5474: 1-38 (2009) - [i3]Tanja Zseby, Maurizio Molina, Nick G. Duffield, Saverio Niccolini, Frederic Raspall:
Sampling and Filtering Techniques for IP Packet Selection. RFC 5475: 1-46 (2009) - 2008
- [j34]Nick G. Duffield, Matthias Grossglauser:
Trajectory sampling with unreliable reporting. IEEE/ACM Trans. Netw. 16(1): 37-50 (2008) - [j33]Joel Sommers, Paul Barford, Nick G. Duffield, Amos Ron:
A geometric approach to improving active packet loss measurement. IEEE/ACM Trans. Netw. 16(2): 307-320 (2008) - [c44]Vijay Arya, Nick G. Duffield, Darryl Veitch:
Temporal Delay Tomography. INFOCOM 2008: 276-280 - [c43]Yu Gu, Lee Breslau, Nick G. Duffield, Subhabrata Sen:
GRE Encapsulated Multicast Probing: A Scalable Technique for Measuring One-Way Loss. INFOCOM 2008: 1651-1659 - [c42]Edith Cohen, Nick G. Duffield, Carsten Lund, Mikkel Thorup:
Confident estimation for multistage measurement sampling and aggregation. SIGMETRICS 2008: 109-120 - [i2]