I am an Associate Professor in the Computer Science Department at Princeton University. My research interests are broadly in systems and networking, with a recent focus on improving large-scale machine learning (generative and predictive, cloud and edge) and video platforms in terms of performance, resource efficiency, affordability, and/or ease of use. My research has been recognized with a Sloan Research Fellowship, the SIGCOMM Rising Star Award, an NSF CAREER Award, multiple industry faculty research awards, and an IRTF Applied Networking Research Prize. Prior to joining Princeton, I was an Assistant Professor at UCLA from 2019-2021. Even earlier, I received a Ph.D. from MIT in 2018, and a B.S. in Electrical Engineering from Columbia University in 2012.

If you are interested in working with me, please apply to the Princeton CS graduate program, and mention my name in your application. If you are already at Princeton, please send me an email and we can find a time to meet.

Current Students and Postdocs

• Neil Agarwal (PhD)
• Murali Ramanujam (PhD)
• Pengzhan Zhao (PhD, co-advised with Harry Xu)
• Mike Wong (PhD)
• Yinwei Dai (PhD)
• Rui Pan (PhD)
• Emma Farkash (Masters)

Graduated Students

• Pradeep Dogga (PhD 2024; co-advised with George Varghese), now researcher at Google
• Ayush Goel (PhD 2023; co-advised with Harsha Madhyastha), now researcher at HP Labs
• Lei Zhang (Postdoc, 2023), now researcher at ByteDance
• Arthi Padmanabhan (PhD, 2022; coadvised with Harry Xu), now Assistant Professor at Harvey Mudd
• Shaghayegh Mardani (PhD, 2021), now postdoc at UT Austin
• Lana Ramjit (PhD, 2021), now postdoc at Cornell University
• Yuanqi Li (co-advised with Harry Xu), on leave for a startup
• Nikhil Kansal (Masters, 2020), now at Stripe
• Mihir Mathur (Masters, 2020, co-advised with Miryung Kim), now at Lyft

COS 597a (Princeton): Systems for Serving Generative AI (Fall 2024)

COS 316 (Princeton): Principles of Computer System Design (Fall 2022)

COS 598a (Princeton): ML-driven Video Systems (Spring 2022, Fall 2020, Winter 2020)

COS 561 (Princeton): Advanced Computer Networks (Fall 2021, Spring 2023)

CS 219 (UCLA): Web and Mobile Systems (Fall 2019, Winter 2019)

CS 134 (UCLA): Distributed Systems (Spring 2020, Spring 2019)

2023 ACM SIGCOMM Rising Star Award

2023 VMWare Early Career Faculty Award

2023 Howard B. Wentz Junior Faculty Award (Princeton University)

2021 Facebook Faculty Award

2021 Sloan Research Fellowship

2020 Google Faculty Research Award

2020 NSF CAREER Award

2019 ACM SoCC Best Paper Award

2018 Internet Research Task Force Applied Networking Research Prize

2017 Qualcomm Innovation Fellowship

Preprints

• RAGServe: Fast Quality-Aware RAG Systems with Configuration Adaptation
  Siddhant Ray, Rui Pan, Zhuohan Gu, Kuntai Du, Ganesh Ananthanarayanan, Ravi Netravali, Junchen Jiang
  arXiv:2412.10543, December2024

• Marconi: Prefix Caching for the Era of Hybrid LLMs
  Rui Pan, Zhuang Wang, Zhen Jia, Can Karakus, Luca Zancato, Tri Dao, Yida Wang, Ravi Netravali
  arXiv:2411.19379, November 2024

2025

• Tarzan: Passively-Learned Real-Time Rate Control for Video Conferencing
  Neil Agarwal, Rui Pan, Francis Yan, Ravi Netravali
  NSDI 2025 (to appear)

2024

• Apparate: Rethinking Early Exits to Tame Latency-Throughput Tensions in ML Serving
  Yinwei Dai, Rui Pan, Anand Iyer, Kai Li, Ravi Netravali
  SOSP 2024 (to appear)

• Improving DNN Inference Throughput Using Practical, Per-Input Compute Adaptation
  Anand Iyer, Swapnil Gandhi, Mingyu Guan, Yinwei Dai, Rui Pan, Ravi Netravali
  SOSP 2024 (to appear)

• MadEye: Boosting Live Video Analytics Accuracy with Adaptive Camera Configurations
  Michael Wong, Murali Ramanujam, Guha Balakrishnan, Ravi Netravali
  NSDI 2024

• ADR-X: ANN-Assisted Wireless Link Rate Adaptation for Compute-Constrained Embedded Gaming Devices
  Hao Yin, Murali Ramanujam, Joe Schaefer, Stan Adermann, Srihari Narlanka, Perry Lea, Ravi Netravali, Krishna Chintalapudi
  NSDI 2024

• NetVigil: Robust and Low-Cost Anomaly Detection for East-West Data Center Security
  Kevin Hsieh, Mike Wong, Santiago Segarra, Sathiya Kumaran Mani, Ravi Netravali, Srikanth Kandula
  NSDI 2024

• Sprinter: Speeding Up High-Fidelity Crawling of the Modern Web
  Ayush Goel, Jingyuan Zhu, Ravi Netravali, Harsha Madhyastha
  NSDI 2024

2023

• QuEST: Fast, Expressive, and Cheap Analytics for Distributed Traces Using Cloud Storage
  Jessica Berg, Muhammad Haseeb, Haiming Chen, Yaojia Ju, Anirudh Sivaraman, Ravi Netravali, Srinivas Narayana
  CloudDB 2023 (to appear)

• Marvolo: Programmatic Data Augmentation for Deep Malware Detection
  Michael Wong, Edward Raff, James Holt, Ravi Netravali
  ECML PKDD 2023 (to appear)

• Dashlet: Taming Swipe Uncertainty for Robust Short Video Streaming
  Zhuqi Li, Yaxiong Xie, Ravi Netravali, Kyle Jamieson
  NSDI 2023

• Boggart: Towards General-Purpose Acceleration of Retrospective Video Analytics
  Neil Agarwal, Ravi Netravali
  NSDI 2023

• GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge
  Arthi Padmanabhan, Neil Agarwal, Anand Iyer, Ganesh Ananthanarayanan, Yuanchao Shu, Nikolaos Karianakis, Harry Xu, Ravi Netravali
  NSDI 2023

• Bamboo: Making Preemptible Instances Resilient for Affordable Training of Large DNNs
  John Thorpe, Pengzhan Zhao, Jonathan Eyolfson, Yifan Qiao, Zhihao Jia, Minjia Zhang, Ravi Netravali, Harry Xu
  NSDI 2023

• RECL: Responsive Resource-Efficient Continuous Learning for Video Analytics
  Mehrdad Khani, Ganesh Ananthanarayanan, Kevin Hsieh, Junchen Jiang, Ravi Netravali, Yuanchao Shu, Mohammad Alizadeh, Victor Bahl
  NSDI 2023

• Canvas: Isolated and Adaptive Swapping for Multi-Applications on Remote Memory
  Chenxi Wang, Yifan Qiao, Haoran Ma, Shi Liu, Yiying Zhang, Wenguang Chen, Ravi Netravali, Miryung Kim, Harry Xu
  NSDI 2023

2022

• Enabling Passive Measurement of Zoom Performance in Production Networks
  Oliver Michel, Satadal Sengupta, Hyojoon Kim, Ravi Netravali, Jennifer Rexford
  IMC 2022

• Floo: Automatic, Lightweight Memoization for Faster Mobile Apps
  Murali Ramanujam, Helen Chen, Shaghayegh Mardani, Ravi Netravali
  MobiSys 2022

• Jawa: Web Archival in the Era of JavaScript
  Ayush Goel, Jingyuan Zhu, Ravi Netravali, Harsha Madhyastha
  OSDI 2022

• Privid: Practical, Privacy-Preserving Video Analytics Queries
  Frank Cangialosi, Neil Agarwal, Venkat Arun, Junchen Jiang, Srinivas Narayana, Anand Sarwate, Ravi Netravali
  NSDI 2022

• Revelio: ML-Generated Debugging Queries for Distributed Systems
  Pradeep Dogga, Karthik Narasimhan, Anirudh Sivaraman, Shiv Saini, George Varghese, Ravi Netravali
  MLSys 2022

• Understanding the Potential of Server-Driven Edge Video Analytics
  Qizheng Zhang, Kuntai Du, Neil Agarwal, Ravi Netravali, Junchen Jiang
  HotMobile 2022

2021

• Portkey: Adaptive Key-Value Placement over Dynamic Edge Networks
  Joseph Noor, Mani Srivastava, Ravi Netravali
  SoCC 2021

• Snicket: Query-Driven Distributed Tracing
  Jessica Berg, Fabian Ruffy, Khanh Nguygen, Nicholas Lee, Taegyun Kim, Anirudh Sivaraman, Ravi Netravali, Srinivas Narayana
  HotNets 2021

• Towards Memory-Efficient Inference in Edge Video Analytics
  Arthi Padmanabhan, Anand Iyer, Ganesh Ananthanarayanan, Yuanchao Shu, Nikolaos Karianakis, Harry Xu, Ravi Netravali
  HotEdgeVideo 2021

• Marauder: Synergized Caching and Prefetching for Low-Risk Mobile App Acceleration
  Murali Ramanujam, Harsha Madhyastha, Ravi Netravali
  MobiSys 2021

• Horcrux: Automatic JavaScript Parallelism for Resource-Efficient Web Computation
  Shaghayegh Mardani, Ayush Goel, Ronny Ko, Harsha Madhyastha, Ravi Netravali
  OSDI 2021

• Dorylus: Affordable, Scalable, and Accurate GNN Training over Billion-Edge Graphs
  John Thorpe, Yifan Qiao, Jonathan Eyolfson, Shen Teng, Guanzhou Hu, Zhihao Jia, Jinliang Wei, Keval Voral, Ravi Netravali, Miryung Kim, and Harry Xu
  OSDI 2021

• Alohamora: Reviving HTTP/2 Push and Preload by Adapting Policies On the Fly
  Nikhil Kansal, Murali Ramanujam, Ravi Netravali
  NSDI 2021

• Oblique: Accelerating Page Loads Using Symbolic Execution
  Ronny Ko, James Mickens, Blake Loring, Ravi Netravali
  NSDI 2021

• WebMedic: Disentangling the Memory--Functionality Tension for the Next Billion Mobile Web Users
  Usama Naseer, Theophilus Benson, Ravi Netravali
  HotMobile 2021

• Rethinking Client-Side Caching for the Mobile Web
  Ayush Goel, Vaspol Ruamviboonsuk, Ravi Netravali, Harsha Madhyastha
  HotMobile 2021

2020

• Semeru: A Memory-Disaggregated Managed Runtime
  Chenxi Wang, Haoran Ma, Shi Liu, Yuanqi Li, Zhenyuan Ruan, Khanh Nguyen, Michael Bond, Ravi Netravali, Miryung Kim, Harry Xu
  OSDI 2020

• Mind the Delay: The Adverse Effects of Delay-Based TCP on HTTP
  Neil Agarwal, Matteo Varvello, Andrius Aucinas, James Newman, Fabian Bustamante, Ravi Netravali
  CoNEXT 2020

• Continuous Prefetch for Interactive Data Applications
  Haneen Mohammed, Ziyun Wei, Eugene Wu, Ravi Netravali
  VLDB 2020

• Reducto: On-Camera Filtering for Resource-Efficient Real-Time Video Analytics
  Yuanqi Li, Arthi Padmanabhan, Pengzhan Zhao, Yufei Wang, Harry Xu, Ravi Netravali
  SIGCOMM 2020

• Physical Visualization Design (demo)
  Lana Ramjit, Zhaoning Kong, Ravi Netravali, Eugene Wu
  SIGMOD 2020

• Fawkes: Faster Mobile Page Loads via App-Inspired Static Templating
  Shaghayegh Mardani, Mayank Singh, Ravi Netravali
  NSDI 2020

• ABC: A Simple Explicit Congestion Controller for Wireless Networks
  Prateesh Goyal, Anup Agarwal, Ravi Netravali, Mohammad Alizadeh, Hari Balakrishnan
  NSDI 2020

• Network architecture in the age of programmability
  Anirudh Sivaraman, Thomas Mason, Aurojit Panda, Ravi Netravali, Sai Anirudh Kondaveeti
  SIGCOMM CCR Editorial (January 2020)

2019

• Acorn: Aggressive Result Caching in Distributed Data Processing Frameworks
  Lana Ramjit, Matteo Interlandi, Eugene Wu, Ravi Netravali
  SoCC 2019

• A System-Wide Debugging Assistant Powered by Natural Language Processing
  Pradeep Dogga, Karthik Narasimhan, Anirudh Sivaraman, Ravi Netravali
  SoCC 2019

• Reverb: Speculative Debugging for Web Applications
  Ravi Netravali, James Mickens
  SoCC 2019
  Best Paper Award

• Sluice: Network-Wide Data Plane Programming (demo)
  Vikas Natesh, Pravein Kannan, Anirudh Sivaraman, Ravi Netravali
  SIGCOMM 2019

• Edge-based Transcoding for Adaptive Live Video Streaming
  Pradeep Dogga, Sandip Chakraborty, Subrata Mitra, Ravi Netravali
  HotEdge 2019

• Secure Incentivization for Decentralized Content Delivery
  Prateesh Goyal, Ravi Netravali, Mohammed Alizadeh, Hari Balakrishnan
  HotEdge 2019

• WatchTower: Fast, Secure Mobile Page Loads Using Remote Dependency Resolution
  Ravi Netravali, Anirudh Sivaraman, James Mickens, Hari Balakrishnan
  MobiSys 2019

2018

• Vesper: Measuring Time-to-Interactivity for Modern Web Pages
  Ravi Netravali, Vikram Nathan, James Mickens, Hari Balakrishnan
  NSDI 2018

• Prophecy: Accelerating Mobile Page Loads Using Final-state Write Logs
  Ravi Netravali, James Mickens
  NSDI 2018

• Remote-Control Caching: Proxy-based URL Rewriting to Decrease Mobile Browsing Bandwidth
  Ravi Netravali, James Mickens
  HotMobile 2018

2017

• Neural Adaptive Video Streaming with Pensieve
  Hongzi Mao, Ravi Netravali, Mohammad Alizadeh
  SIGCOMM 2017
  Pensieve Website
  Selected for the 2017 Qualcomm Innovation Fellowship

• Vroom: Accelerating the Mobile Web with Server-Aided Dependency Resolution
  Vaspol Ruamviboonsuk, Ravi Netravali, Muhammed Uluyol, Harsha Madhyastha
  SIGCOMM 2017
  Awarded the 2018 IRTF Applied Networking Research Prize