Princeton University
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Network Systems Group Princeton University |
We are interested in all aspects of networks and systems built around networks. Our research involves designing and evaluating experimental systems, measuring and analyzing production networks, and developing analytic models of fundamental network behavior. Our work also cuts across the full range of networking layers.
Network Services: We are designing, implementing, and evaluating network services that provide users with both new capabilities and improved performance and robustness.
Network Monitoring and Measurement: We are monitoring and measuring network traffic, both to produce better models of network behavior, and to diagnose failures and detect anomalies.
Network Architectures and Protocols: We are designing and evaluating new network architectures and protocols, with an eye towards networks that can more rapidly evolve to accommodate new requirements and workloads.
Broadband Access Networks: We are exploring the design space for ubiquitous network access, including both wired and wireless technologies.
Mathematical Foundation of Networks: We are developing new quantitative methods, including both analytic and numerical frameworks such as optimization methods and distributed algorithms, to model, analyze, and design networks.
Challenged Networks: We are building and evaluating networks designed for challenging scenarios, including networks with only occasional/partial connectivity and networks that must tolerate high latency.
PlanetLab: We host the PlanetLab Consortium, which is building a global platform for testing and deploying an emerging class of planetary-scale network services.
CoDeeN: We are designing a suite of network services, including a CDN, that provides users with more robust access to network content.
Information Plane: We are building systems that collect, analyze, and react to information about the Internet. Our goal is better anomaly detection, fault diagnosis, and network management.
E2E Protocol Design: We are investigating ways to improve the performance and robustness of end-to-end protocols like TCP.
Network Servers: We are investigating ways to improve the performance and robustness of network services and software.
ZebraNet: We are building hardware and software systems that apply mobile ad hoc and sensor network techniques to wildlife tracking and other applications.
Fast Copper: We are pushing the next revolution in copper-based broadband access to provide order of magnitude improvement in DSL access speed and quality through innovations in both physical layer and network architecture.
Flexible Wireless Access: We are incorporating novel channel coding and medium access algorithms into the flexible delivery of a mixture of Quality of Service for various applications running over wireless access networks.
NOCS (Nonlinear Optimization of Communication Systems): We are developing a mathematical framework of advanced optimization methods and distributed algorithms for both rigorous analysis and systematic design of communication systems across the layers.
Extensible Router: We have built an IP router from commodity components that is easily extended to support new functionality.
EE 382 - Optimization Methods and Algorithms for Engineering Applications (Fall 2004)
CS 461 - Computer Networks (Spring 2007)
CS 561 - Computer Networks (Fall 2006)
EE 539 - Optimization of Communication Systems (Spring 2004)
CS 597 - Research Seminar: Planetary-Scale Network Services (Fall 2003)
CS 598 - Research Seminar: Internet Routing (Spring 2005)
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Faculty Robert Calderbank (EE) Mung Chiang (EE) Mike Freedman (CS) Margaret Martonosi (EE) Vivek Pai (CS) Larry Peterson (CS) Jennifer Rexford (CS) |
Research Staff Faiyaz Ahmed Sapan Bhatia Andy Bavier Kent Jiancong Chen Marc Fiuczynski Jang Won Lee Tony Mack Reid Moran KyoungSoo Park Stephen Soltesz |
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Graduate Students David Eisenstat Prashanth Hande Jiayue He Ting Liu Ruoming Pang Chris Sadler Soner Sevinc Chee Wei Tan Yong Wang Mike Wawrzoniak Fengzhou Zheng |
Undergraduate Students Daniel Chiou Ethan Leibowitz Arel Lidow Aditi Shrivastava |
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External Collaborators Hari Balakrishnan, MIT Mic Bowman, Intel Research John Cioffi, Stanford Nick Feamster, Georgia Tech Joan Feigenbaum, Yale Sandy Fraser, Fraser Research Neil Gershenfeld, MIT Media Lab John Hartman, Arizona Steven Low, Caltech Z. Morley Mao, Michigan Vern Paxson, ICIS Timothy Roscoe, ETH Hui Zhang, CMU |
Recent Alumni Yitzchak (Zuki) Gottlieb, Telcordia Scott Karlin, Princeton Aki Nakao, University of Tokyo Tiger Qie, Google Yaoping Ruan, IBM TJ Watson Sumeet Sobti Tammo Spalink Limin Wang, Bell Labs Ming Zhang, Microsoft Research Pei Zhang |
NSF (including grants 0101247, 0335214, 0435087, 0454278, and 0619434)*
DARPA
Intel
HP
Flarion Technologies
*Any opinions, findings, and conclusions or recommendations expressed in
this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.