Arvind Narayanan

Arvind Narayanan
Ph.inisheD. (Defended on September 24, 2021)
Department of Computer Science & Engineering
University of Minnesota

University Email: <first_name> (at) cs (dot) umn (dot) edu  ||  naray111 (at) umn (dot) edu
Skype: arvind__ (two underscores)
LinkedIn: http://bit.ly/arvindn
Google Scholar Profile


Arvind Narayanan is working at AT&T Labs - Research as an Inventive-Scientist. His research interests are broadly in the areas of 5G mobile networking, emerging scalable network architectures (such as NFVs), applied machine learning for systems and content distribution networks (CDNs). Arvind has published papers in several top venues such as SIGCOMM, WWW, IMC, INFOCOM, MobiCom, etc. Arvind's pioneering work on 5G (including the publicly released datasets) has become the de facto baseline to understand and evaluate the evolution of commercial 5G's network performance. His work on DeepCache was the recipient of the Best Paper Award at SIGCOMM Workshop NetAI'18. Arvind completed his M.S. in Computer Science from the same department, and graduated with B.E. in Computer Engineering with highest distinction from the University of Mumbai where he was also awarded the Best Overall Student in his batch (1 out of 120).

Ph.D. Thesis: A Comprehensive Examination of Emerging 5G Services: Challenges and Opportunities
Advisors: Professor Zhi-Li Zhang and Professor Feng Qian
Link: [ pdf ] [ Companion assets ] (Publicly released on April 19, 2022)

Publications

  1. An In-Depth Measurement Analysis of 5G mmWave PHY Latency and its Impact on End-to-End Delay
    Rostand A. K. Fezeu, Eman Ramadan, Wei Ye, Bengamin Minneci, Jack Xie, Arvind Narayanan, Ahmad Hassan, Feng Qian, Zhi-Li Zhang, Jaideep Chandrashekar, Myungjin Lee
    PAM '23, March, 2023

  2. Vues: Practical Volumetric Video Streaming through Multiview Transcoding Arvind Narayanan
    Yu Liu, Bo Han, Feng Qian, Arvind Narayanan, Zhi-Li Zhang
    ACM MobiCom '22, Sydney, Australia, October, 2022

  3. Vivisecting Mobility Management in 5G Cellular Networks Arvind Narayanan
    Ahmad Hassan, Arvind Narayanan, Anlan Zhang, Wei Ye, Ruiyang Zhu, Shuowei Jin, Jason Carpenter, Z. Morley Mao, Feng Qian, Zhi-Li Zhang
    ACM SIGCOMM '22, Amsterdam, Netherlands, August, 2022
    For datasets: visit https://github.com/SIGCOMM22-5GMobility/artifact

  4. A Comparative Measurement Study of Commercial 5G mmWave Deployments Arvind Narayanan
    Arvind Narayanan*, Muhammad Iqbal Rochman*, Ahmad Hassan, Bariq S. Firmansyah, Vanlin Sathya, Monisha Ghosh, Feng Qian, Zhi-Li Zhang
    IEEE INFOCOM '22, Virtual Event, May, 2022
    For datasets: visit https://5gbeams.umn.edu

  5. A Variegated Look at 5G in the Wild: Performance, Power, and QoE Implications Arvind Narayanan
    Arvind Narayanan*, Xumiao Zhang*, Ruiyang Zhu, Ahmad Hassan, Shuowei Jin, Xiao Zhu, Xiaoxuan Zhang, Denis Rybkin, Zhengxuan Yang, Z. Morley Mao, Feng Qian, Zhi-Li Zhang
    ACM SIGCOMM 2021, Virtual Event, USA, August, 2021
    For tools and datasets: visit https://github.com/SIGCOMM21-5G/artifact | Presentation videos: Short version - Long version

  6. Case for 5G-Aware Video Streaming Applications Arvind Narayanan
    Eman Ramadan, Arvind Narayanan, Udhaya Kumar Dayalan, Rostand AK Fezeu, Feng Qian, Zhi-Li Zhang
    ACM SIGCOMM '21 Workshops (5G MeMu), Virtual Event, USA, August, 2021

  7. [Whitepaper] A Collaborative Crowdsourced User-Carrier-App Ecosystem to Enable Next Generation Wireless Research Arvind Narayanan
    Zhi-Li Zhang, Feng Qian, Arvind Narayanan, Z. Morley Mao
    NSF Workshop WOMBIR 2021, Virtual Event, USA, January, 2021

  8. Lumos5G: Mapping and Predicting Commercial mmWave 5G Throughput (Utility patent filed by UMN OTC) Arvind Narayanan
    Arvind Narayanan, Eman Ramadan, Rishabh Mehta, Xinyue Hu, Qingxu Liu, Rostand A. K. Fezeu, Udhaya Kumar Dayalan, Saurabh Verma, Peiqi Ji, Tao Li, Feng Qian, Zhi-Li Zhang
    ACM IMC '20, Virtual Event, USA, October, 2020
    For datasets and other resources: visit http://lumos5g.umn.edu

  9. [Poster] 5G Tracker - A Crowdsourced Platform to Enable Research Using Commercial 5G Services Arvind Narayanan
    Arvind Narayanan, Eman Ramadan, Jacob Quant, Peiqi Ji, Feng Qian, Zhi-Li Zhang
    ACM SIGCOMM '20, Virtual Event, USA, August, 2020
    To view 5Gophers (a 5G coverage and performance mapping initiative): visit https://5gophers.umn.edu

  10. NFV Performance Profiling on Multi-core Servers Arvind Narayanan
    Peng Zheng, Wendi Feng, Arvind Narayanan, Zhi-Li Zhang
    IFIP Networking 2020, Virtual Event/Paris, France, June, 2020

  11. A First Look at Commercial 5G Performance on Smartphones Arvind Narayanan
    Arvind Narayanan, Eman Ramadan, Jason Carpenter, Qingxu Liu, Yu Liu, Feng Qian, Zhi-Li Zhang
    WWW '20, Virtual Event/Taiwan, Taipei, April, 2020
    For datasets and other resources: visit https://5gophers.umn.edu/www20/

  12. Web-Based Perceived Present Control Intervention for Voice Disorders: A Pilot Study Arvind Narayanan
    Viann N. Nguyen-Feng, Patricia A. Frazier, Ali Stockness, Arvind Narayanan, Addie N. Merians, Stephanie Misono
    Journal of Voice, March, 2020

  13. [Poster] Towards a Scalable, Flexible and High Performance NFV Execution Model (Best Poster Runner-Up Award) Arvind Narayanan
    Peng Zheng, Arvind Narayanan, Zhi-Li Zhang
    ACM CoNEXT '19, Orlando, FL, USA, December, 2019

  14. A Closer Look at NFV Execution Models Arvind Narayanan
    Peng Zheng, Arvind Narayanan, Zhi-Li Zhang
    APNet '19, Beijing, China, August, 2019

  15. Mining Latent Patterns in geoMobile Data via EPIC Arvind Narayanan
    Arvind Narayanan, Saurabh Verma, Zhi-Li Zhang
    Springer, WWWJ, July, 2019

  16. Making Content Caching Policies 'Smart' using the DeepCache Framework Arvind Narayanan
    Arvind Narayanan, Saurabh Verma, Eman Ramadan, Pariya Babaie, Zhi-Li Zhang
    ACM SIGCOMM '18 CCR, October, 2018

  17. DeepCache: A Deep Learning Based Framework For Content Caching (Best Paper Award) Arvind Narayanan
    Arvind Narayanan, Saurabh Verma, Eman Ramadan, Pariya Babaie, Zhi-Li Zhang
    ACM SIGCOMM'18 Workshops (NetAI), Budapest, Hungary, August, 2018

  18. OpenCDN: An ICN-Based Open Content Distribution System using Distributed Actor Model Arvind Narayanan
    Arvind Narayanan, Eman Ramadan, Zhi-Li Zhang
    IEEE INFOCOM '18 Workshops (IECCO), Honolulu, HI, USA, April, 2018

  19. Multi-Low-Rank Approximation for Traffic Matrices Arvind Narayanan
    Saurabh Verma, Arvind Narayanan, Zhi-Li Zhang
    International Teletraffic Congress 29 (ITC'29), Genoa, Italy, September, 2017

  20. BIG Cache Abstraction for Cache Networks Arvind Narayanan
    Eman Ramadan, Arvind Narayanan, Zhi-Li Zhang, Runhui Li and Gong Zhang
    IEEE ICDCS '17, Atlanta, GA, USA, June, 2017

  21. Most Calls are Local (but Some are Regional): Dissecting Cellular Communication Patterns Arvind Narayanan
    Arvind Narayanan, Saurabh Verma and Zhi-Li Zhang
    IEEE GLOBECOM '16, Washington, DC, December, 2016

  22. Mining Spatial-Temporal geoMobile Data via Feature Distributional Similarity Graph Arvind Narayanan
    Arvind Narayanan, Saurabh Verma and Zhi-Li Zhang
    ACM MobiSys '16 Workshops (MobiData), Singapore, June, 2016

  23. Position Estimation of Robotic Mobile Nodes in Wireless Testbed using GENI Arvind Narayanan
    A. Abdelhadi, F. Rechia, A. Narayanan, T. Teixeira, R. Lent, D. Benhaddou, H. Lee, T. Clancy
    IEEE SysCon '16, Orlando, FL, 2016

  24. [Poster] Voice, Distress, and Perceived Control: Technology-Based Intervention
    S. Misono, A. Merians, C.B. Peterson, A. Narayanan, K.O. Lim, P.A. Frazier
    ISRII 8th Scientific Meeting, Seattle, WA, April, 2016

  25. CONIA: Content (Provider)-Oriented, Namespace-Independent Architecture for Multimedia Information Delivery Arvind Narayanan
    Eman Ramadan, Arvind Narayanan, Zhi-Li Zhang
    IEEE ICME '15 Workshops (MuSIC), Torino, Italy, July, 2015

Work Experience

  1. PhD Intern, AI & Cognitive Systems, Cisco, San Jose, CA, July 2017 - May 2018
  2. Research Intern, IP Lab, FutureWei Technologies (Huawei Research Center), Santa Clara, CA, October 2016 - January 2017
  3. Research Intern, Future Network Theory Lab, Huawei Technologies, Hong Kong, August 2016 - September 2016
  4. Engineering Intern, HAMR Team, Seagate Technologies, Bloomington, MN, May 2013 - August 2013
  5. Intern, Center of Excellence, WIPRO, Bangalore, India, August 2011
  6. Freelancer, Desi Hosting, Mumbai, India, 2005 - 2012

Education

  1. Doctor of Philosophy (PhD), Computer Science, University of Minnesota, 2021
  2. Masters of Science (M.S.), Computer Science, University of Minnesota, 2014
  3. Bachelors of Engineering, Computer Engineering, University of Mumbai, 2011

Awards

Travel Grants & Scholarships

  1. USD 850 by The Linux Foundation to attend ONAP Academic Summit 2018, New York City
  2. USD 250 to attend GENI Regional Workshop 2015, Chicago
  3. ~USD 2100 to attend FGRE 2015 Research Summit, Ghent, Belgium
  4. ~USD 2000 by Verisign Labs to participate in the Hackathon @ TNW Europe'14, Amsterdam
  5. USD 1000 to attend IEEE SPS IoT/M2M Summer School, National Taiwan University, Taiwan
  6. USD 450 to attend GENI Summer Camp, Iowa State University
  7. INR 50000 scholarship from Tatachem Golden Jubilee Foundation to travel abroad for higher education.

Press & Media

Hobbies

Skiing, Photography, Travel