Preprints

  1. Apparate: Rethinking Early Exits to Tame Latency-Throughput Tensions in ML Serving
    Yinwei Dai, Rui Pan, Anand Padmanabha Iyer, Kai Li, and Ravi Netravali
    (arXiv) 2023

2024

  1. USHER: Holistic Interference Avoidance for Resource Optimized ML Inference (to appear)
    Sudipta Saha Shubha, Haiying Shen, and Anand Padmanabha Iyer
    In Proceedings of the 18th USENIX Symposium on Operating Systems Design and Implementation (OSDI), Jul 2024
  2. Proactive, Accuracy-aware Straggler Mitigation in Machine Learning Clusters (to appear)
    Suraiya Tairin, Haiying Shen, and Anand Padmanabha Iyer
    In Proceedings of the 38th IEEE International Parallel & Distributed Processing Symposium (IPDPS), May 2024
  3. Vulcan: Automatic Query Planning for Live ML Analytics
    Yiwen Zhang, Xumiao Zhang, Ganesh Ananthanarayanan, Anand Padmanabha Iyer, Yuanchao Shu, Victor Bahl, Z. Morley Mao, and Mosharaf Chowdhury
    In Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI), Apr 2024

2023

  1. Gemel: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge
    Arthi Padmanabhan, Neil Agarwal, Anand Padmanabha Iyer, Ganesh Ananthanarayanan, Yuanchao Shu, Nikolaos Karianakis, Guoqing Harry Xu, and Ravi Netravali
    In Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation (NSDI), Apr 2023

2022

  1. DynaGraph: Dynamic Graph Neural Networks at Scale
    Mingyu Guan, Anand Padmanabha Iyer, and Taesoo Kim
    In Proceedings of the 5th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA) (GRADES-NDA), 2022

2021

  1. Towards Memory-Efficient Inference in Edge Video Analytics
    Arthi Padmanabhan, Anand Padmanabha Iyer, Ganesh Ananthanarayanan, Yuanchao Shu, Nikolaos Karianakis, Guoqing Harry Xu, and Ravi Netravali
    In Proceedings of the 3rd ACM Workshop on Hot Topics in Video Analytics and Intelligent Edges (HotEdgeVideo), 2021
  2. P3: Distributed Deep Graph Learning at Scale
    Swapnil Gandhi, and Anand Padmanabha Iyer
    In Proceedings of the 15th USENIX Symposium on Operating Systems Design and Implementation (OSDI), Jul 2021
  3. TEGRA: Efficient Ad-Hoc Analytics on Evolving Graphs
    Anand Padmanabha Iyer, Qifan Pu, Kishan Patel, Joseph E. Gonzalez, and Ion Stoica
    In Proceedings of the 18th USENIX Symposium on Networked Systems Design and Implementation (NSDI), Apr 2021

2019

  1. Scalable Systems for Large Scale Dynamic Connected Data Processing
    Anand Padmanabha Iyer
    PhD Thesis, University of California at Berkeley, 2019
  2. Enriching Driving Experience with Cloud Assistance
    Anand Padmanabha Iyer, Srikanth Kandula, Paramvir Bahl, and Ion Stoica
    (Preprint) 2019

2018

  1. Mitigating the Latency-Accuracy Trade-off in Mobile Data Analytics Systems
    Anand Padmanabha Iyer, Li Erran Li, Mosharaf Chowdhury, and Ion Stoica
    In Proceedings of the 24th Annual International Conference on Mobile Computing and Networking (MobiCom), 2018
  2. ASAP: Fast, Approximate Graph Pattern Mining at Scale
    Anand Padmanabha Iyer, Zaoxing Liu, Xin Jin, Shivaram Venkataraman, Vladimir Braverman, and Ion Stoica
    In Proceedings of the 13th USENIX Conference on Operating Systems Design and Implementation (OSDI), Oct 2018
  3. Monarch: Gaining Command on Geo-Distributed Graph Analytics
    Anand Padmanabha Iyer, Aurojit Panda, Mosharaf Chowdhury, Aditya Akella, Scott Shenker, and Ion Stoica
    In Proceedings of the 10th USENIX Conference on Hot Topics in Cloud Computing (HotCloud), 2018
  4. Towards Fast and Scalable Graph Pattern Mining
    Anand Padmanabha Iyer, Zaoxing Liu, Xin Jin, Shivaram Venkataraman, Vladimir Braverman, and Ion Stoica
    In Proceedings of the 10th USENIX Conference on Hot Topics in Cloud Computing (HotCloud), 2018
  5. Bridging the GAP: Towards Approximate Graph Analytics
    Anand Padmanabha Iyer, Aurojit Panda, Shivaram Venkataraman, Mosharaf Chowdhury, Aditya Akella, Scott Shenker, and Ion Stoica
    In Proceedings of the 1st ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA) (GRADES-NDA), 2018

2017

  1. Time-evolving Graph Processing on Commodity Clusters
    Anand Padmanabha Iyer
    ACM SOSP Student Research Competition (SRC) (SOSP-SRC), 2017
  2. Automating Diagnosis of Cellular Radio Access Network Problems
    Anand Padmanabha Iyer, Li Erran Li, and Ion Stoica
    In Proceedings of the 23rd Annual International Conference on Mobile Computing and Networking (MobiCom), 2017
  3. A Scalable Distributed Spatial Index for the Internet-of-Things
    Anand Padmanabha Iyer, and Ion Stoica
    In Proceedings of the 2017 Symposium on Cloud Computing (SoCC), 2017

2016

  1. Time-Evolving Graph Processing at Scale
    Anand Padmanabha Iyer, Li Erran Li, Tathagata Das, and Ion Stoica
    In Proceedings of the Fourth International Workshop on Graph Data Management Experiences and Systems (GRADES-NDA), 2016
  2. Fast and Accurate Performance Analysis of LTE Radio Access Networks
    Anand Padmanabha Iyer, Ion Stoica, Mosharaf Chowdhury, and Li Erran Li
    2016

2015

  1. FastLane: Making Short Flows Shorter with Agile Drop Notification
    David Zats, Anand Padmanabha Iyer, Ganesh Ananthanarayanan, Rachit Agarwal, Randy Katz, Ion Stoica, and Amin Vahdat
    In Proceedings of the Sixth ACM Symposium on Cloud Computing (SoCC), 2015
  2. CellIQ: Real-Time Cellular Network Analytics at Scale
    Anand Padmanabha Iyer, Li Erran Li, and Ion Stoica
    In Proceedings of the 12th USENIX Symposium on Networked Systems Design and Implementation (NSDI), May 2015

2013

  1. Carat: Collaborative Energy Diagnosis for Mobile Devices
    Adam J. Oliner, Anand Padmanabha Iyer, Ion Stoica, Eemil Lagerspetz, and Sasu Tarkoma
    In Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems (SenSys), 2013

2012

  1. Collaborative Energy Debugging for Mobile Devices
    Adam J. Oliner, Anand Padmanabha Iyer, Eemil Lagerspetz, Sasu Tarkoma, and Ion Stoica
    In Proceedings of the Eighth USENIX Conference on Hot Topics in System Dependability (HotDep), 2012
  2. Blink and It’s Done: Interactive Queries on Very Large Data
    Sameer Agarwal, Anand Padmanabha Iyer, Aurojit Panda, Samuel Madden, Barzan Mozafari, and Ion Stoica
    Proc. VLDB Endow. (VLDB), Aug 2012

2011

  1. SpecNet: Spectrum Sensing Sans Frontieres
    Anand Padmanabha Iyer, Krishna Chintalapudi, Vishu Navda, Ramachandran Ramjee, Venkata N. Padmanabhan, and Chandra R. Murthy
    In Proceedings of the Eighth USENIX Symposium on Networked Systems Design and Implementation (NSDI), 2011

2010

  1. Indoor Localization without the Pain
    Krishna Chintalapudi, Anand Padmanabha Iyer, and Venkata N. Padmanabhan
    In Proceedings of the Sixteenth Annual International Conference on Mobile Computing and Networking (MobiCom), 2010
  2. Cyclostationary-Based Architectures for Spectrum Sensing in IEEE 802.22 WRAN
    Deepa B., Anand Padmanabha Iyer, and Chandra R. Murthy
    In 2010 IEEE Global Telecommunications Conference GLOBECOM 2010 (GLOBECOM), 2010

2009

  1. Fast Resilient Jumbo frames in wireless LANs
    Anand Padmanabha Iyer, Gaurav Deshpande, Eric Rozner, Apurv Bhartia, and Lili Qiu
    In 17th International Workshop on Quality of Service (IWQoS), 2009
  2. Handling Mobility across WiFi and WiMAX
    Anand Padmanabha Iyer, and Jayaraman Iyer
    In Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly (IWCMC), 2009

2008

  1. Efficient Transmissions & Recovery in Wireless LAN
    Anand Padmanabha Iyer
    Masters Thesis, The University of Texas at Austin, May 2008

2007

  1. ER: Efficient Retransmission Scheme for Wireless LANs
    Eric Rozner, Anand Padmanabha Iyer, Yogita Mehta, Lili Qiu, and Mansoor Jafry
    In Proceedings of the 2007 ACM CoNEXT Conference (CoNEXT), 2007