Distributed AI Platform for the 6G RAN
Ganesh Ananthanarayanan, Matthew Balkwill, Xenofon Foukas, Zhihua Lai, Bozidar Radunovic, Connor Settle, Yongguang Zhang
ACM MobiCom Open-AI RAN Workshop | November 2025
Ganesh Ananthanarayanan
Senior Principal Researcher
论文与出版物
-
-
-
METIS: Fast Quality-Aware RAG Systems with Configuration Adaptation
Siddhant Ray, Rui Pan, Zhuohan Gu, Kuntai Du, Shaoting Feng, Ganesh Ananthanarayanan, Ravi Netravali, Junchen Jiang
ACM SOSP | October 2025
-
AdaptCache: KV Cache Native Storage Hierarchy for Low-Delay and High-Quality Language Model Serving
Shaoting Feng, Hanchen Li, Kuntai Du, Zhuohan Gu, Yuhan Liu, Jiayi Yao, Siddhant Ray, Samuel Shen, Yihua Cheng, Ganesh Ananthanarayanan, Junchen Jiang
ACM SOSP BigMem Workshop | October 2025
-
Enterprise AI Must Enforce Participant-Aware Access Control
Shashank Shreedhar Bhatt, Tanmay Rajore, Khushboo Aggarwal, Ganesh Ananthanarayanan, Ranveer Chandra, Nishanth Chandran, Suyash Choudhury, Divya Gupta, Emre Kiciman, Shrey Pandey, Srinath Setty, Rahul Sharma, Teijia Zhao
arXiv:2509.14608 | September 2025
作者：arXiv
-
-
-
METIS: Fast Quality-Aware RAG Systems with Configuration Adaptation (TR)
Siddhant Ray, Rui Pan, Zhuohan Gu, Kuntai Du, Shaoting Feng, Ganesh Ananthanarayanan, Ravi Netravali, Junchen Jiang
arXiv:2412.10543 | December 2024
作者：arXiv
-
CacheGen: Fast Context Loading for Language Model Applications via KV Cache Streaming
Yuhan Liu, Hanchen Li, Yihua Cheng, Siddhant Ray, Yuyang Huang, Qizheng Zhang, Kuntai Du, Jiayi Yao, Shan Lu, Ganesh Ananthanarayanan, Michael Maire, Henry Hoffmann, Ari Holtzman, Junchen Jiang
SIGCOMM | August 2024
-
Vulcan: Automatic Query Planning for Live ML Analytics
Yiwen Zhang, Xumiao Zhang, Ganesh Ananthanarayanan, Anand Iyer, Yuanchao Shu, Victor Bahl, Z. Morley Mao, Mosharaf Chowdhury
USENIX NSDI | April 2024
-
-
-
OneAdapt: Fast Adaptation for Deep Learning Applications via Backpropagation
Kuntai Du, Yihan Liu, Qizheng Zhang, Haodong Wwang, Yuyang Huang, Ganesh Ananthanarayanan, Junchen Jiang
ACM Symposium on Cloud Computing (SoCC) | November 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, Guoqing Harry Xu , Ravi Netravali
USENIX NSDI | April 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
USENIX NSDI | April 2023
-
Tambur: Efficient loss recovery for videoconferencing via streaming codes
Michael Rudow, Francis Y. Yan, Abhishek Kumar, Ganesh Ananthanarayanan, Martin Ellis, K.V. Rashmi
USENIX Symposium on Networked Systems Design and Implementation (NSDI ’23) | April 2023
-
Leading pedestrian intervals – Yay or Nay? A Before-After evaluation of multiple conflict types using an enhanced Non-Stationary framework integrating quantile regression into Bayesian hierarchical extreme value analysis
Ashutosh Arun, Craig Lyon, Tarek Sayed, Simon Washington, Franz Loewenherz, Darcy Akers, Ganesh Ananthanarayanan, Yuanchao Shu, Mark Bandy, Md. Mazharul Haque
Accident Analysis & Prevention | March 2023, 第 181 卷
-
-
-
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers
Romil Bhardwaj , Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Nikolaos Karianakis, Kevin Hsieh, Victor Bahl, Ion Stoica
USENIX NSDI | April 2022
-
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, Guoqing Harry Xu, Ravi Netravali
arXiv:2201.07705 | January 2022
-
-
-
Spider: A Multi-Hop Millimeter-Wave Network for Live Video Analytics
Zhuqi Li, Yuanchao Shu, Ganesh Ananthanarayanan, Longfei Shangguan, Kyle Jamieson, Victor Bahl
ACM/IEEE Symposium on Edge Computing | December 2021
-
PECAM: Privacy-Enhanced Video Streaming and Analytics via Securely-Reversible Transformation
Hao Wu, Xuejin Tian, Minghao Li, Yunxin Liu, Ganesh Ananthanarayanan, Fengyuan Xu, Sheng Zhong
MobiCom '21 | October 2021
-
Towards Memory-Efficient Inference in Edge Video Analytics
Arthi Padmanabhan, Anand Iyer, Ganesh Ananthanarayanan, Yuanchao Shu, Nikolaos Karianakis, Guoqing Harry Xu, Ravi Netravali
Workshop on Hot Topics in Video Analytics and Intelligent Edges (HotEdgeVideo) | October 2021
-
-
-
Collage Inference: Using Coded Redundancy for Lowering Latency Variation in Distributed Image Classification Systems
Krishna Giri Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram
IEEE International Conference on Distributed Computing Systems (ICDCS) | December 2020
-
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers (TR)
Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Nikolaos Karianakis, Yuanchao Shu, Kevin Hsieh, Victor Bahl, Ion Stoica
MSR-TR-2020-44 | December 2020
作者：Microsoft
arXiv:2012.10557
-
On the Future of Congestion Control for the Public Internet
Lloyd Brown , Ganesh Ananthanarayanan, Ethan Katz-Bassett , Arvind Krishnamurthy , Sylvia Ratnasamy , Michael Schapira , Scott Shenker
ACM Workshop on Hot Topics in Networks (HotNets) | November 2020
-
Spatula: Efficient cross-camera video analytics on large camera networks
Samvit Jain, Xun Zhang, Yuhao Zhou, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Victor Bahl, Joseph Gonzalez
ACM/IEEE Symposium on Edge Computing (SEC 2020) | November 2020
SEC 2020 Best Paper Award
-
Visor: Privacy-Preserving Video Analytics as a Cloud Service
Rishabh Poddar, Ganesh Ananthanarayanan, Srinath Setty, Stavros Volos, Raluca Ada Popa
29th USENIX Security Symposium | August 2020
CSAW 2020 Applied Research Competition Award (Runner-up)
-
Live Video Analytics with Microsoft Rocket for reducing edge compute costs
Ganesh Ananthanarayanan, Yuanchao Shu, Mustafa Kasap, Avi Kewalramani, Milan Gada, Victor Bahl
July 2020
-
Spider: Next generation Live Video Analytics over Millimeter-Wave Networks
Zhuqi Li, Yuanchao Shu, Ganesh Ananthanarayanan, Longfei Shangguan, Kyle Jamieson, Victor Bahl
MSR-TR-2020-17 | May 2020
作者：Microsoft
-
The Emerging Landscape of Edge-Computing
Shadi Noghabi, Landon Cox, Sharad Agarwal, Ganesh Ananthanarayanan
ACM SIGMOBILE GetMobile | March 2020
-
Project Rocket platform—designed for easy, customizable live video analytics—is open source
Ganesh Ananthanarayanan, Yuanchao Shu, Landon Cox, Victor Bahl
January 2020
-
-
-
Traffic Video Analytics – Case Study Report
Ganesh Ananthanarayanan, Victor Bahl, Yuanchao Shu, Franz Loewenherz, Daniel Lai, Darcy Akers, Peiwei Cao, Fan Xia, Jiangbo Zhang, Ashley Song
MSR-TR-1970-3 | December 2019
作者：Microsoft and City of Bellevue
-
Cracking open the DNN black-box: Video Analytics with DNNs across the Camera-Cloud Boundary
John Emmons, Sadjad Fouladi, Ganesh Ananthanarayanan, Shivaram Venkataraman, Silvio Savarese, Keith Winstein
Workshop on Hot Topics in Video Analytics and Intelligent Edges (HotEdgeVideo) | October 2019
-
Networked Cameras Are the New Big Data Clusters
Junchen Jiang, Yuhao Zhou, Ganesh Ananthanarayanan, Yuanchao Shu, Andrew A. Chien
Workshop on Hot Topics in Video Analytics and Intelligent Edges (HotEdgeVideo) | October 2019
-
Zooming in on Wide-area Latencies to a Global Cloud Provider
Yuchen Jin, Sundararajan R, Ganesh Ananthanarayanan, Junchen Jiang, Venkat Padmanabhan, Manuel Schroder, Matt Calder, Arvind Krishnamurthy
ACM SIGCOMM | August 2019
-
Machine Learning at the Network Edge: A Survey
M. G. Sarwar Murshed, Christopher Murphy, Daqing Hou, Nazar Khan, Ganesh Ananthanarayanan, Faraz Hussain
ACM Computing Surveys | July 2019
-
Demo: Video Analytics – Killer App for Edge Computing
Ganesh Ananthanarayanan, Victor Bahl, Landon Cox, Alex Crown, Shadi Noghabi, Yuanchao Shu
ACM MobiSys | June 2019
MobiSys Best Demo Runner-up Award
-
Collage Inference: Achieving low tail latency during distributed image classification using coded redundancy models
Krishna Giri Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram
ICML 2019 Workshop on Coding Theory For Large-scale Machine Learning | June 2019
-
Scaling Video Analytics Systems to Large Camera Deployments
Samvit Jain, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Joseph E. Gonzalez
ACM HotMobile | February 2019
-
-
-
VideoEdge: Processing Camera Streams using Hierarchical Clusters
Chien-Chun Hung, Ganesh Ananthanarayanan, Peter Bodík, Leana Golubchik, Minlan Yu, Victor Bahl, Matthai Philipose
ACM/IEEE Symposium on Edge Computing (SEC) | October 2018
-
Focus: Querying Large Video Datasets with Low Latency and Low Cost
Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Shivaram Venkataraman, Victor Bahl, Matthai Philipose, Phillip B. Gibbons , Onur Mutlu
USENIX OSDI | October 2018
-
Chameleon: Scalable Adaptation of Video Analytics
Junchen Jiang, Ganesh Ananthanarayanan, Peter Bodík, Siddhartha Sen, Ion Stoica
ACM Special Interest Group on Data Communication (SIGCOMM) | August 2018
-
Wide-Area Analytics with Multiple Resources
Chien-Chun Hung, Ganesh Ananthanarayanan, Leana Golubchik, Minlan Yu, Mingyang Zhang
ACM EuroSys | April 2018
-
Odin: Microsoft’s Scalable Fault-Tolerant CDN Measurement System
Matt Calder, Manuel Schroder, Ryan Gao, Ryan Stewart, Jitu Padhye, Ratul Mahajan, Ganesh Ananthanarayanan, Ethan Katz-Bassett
USENIX NSDI | April 2018
-
Focus: Querying Large Video Datasets with Low Latency and Low Cost [Tech Report]
Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Victor Bahl, Matthai Philipose, Phillip B. Gibbons, Onur Mutlu
MSR-TR-2018-1 | January 2018
作者：Microsoft
arXiv:1801.03493
-
-
-
Real-time Video Analytics: the killer app for edge computing
Ganesh Ananthanarayanan, Victor Bahl, Peter Bodík, Krishna Chintalapudi, Matthai Philipose, Lenin Ravindranath Sivalingam, Sudipta Sinha
IEEE Computer | October 2017
-
Live Video Analytics at Scale with Approximation and Delay-Tolerance
Haoyu Zhang, Ganesh Ananthanarayanan, Peter Bodík, Matthai Philipose, Victor Bahl, Michael Freedman
USENIX NSDI | March 2017
-
-
-
Altruistic Scheduling in Multi-Resource Clusters
Robert Grandl, Mosharaf Chowdhury, Aditya Akella, Ganesh Ananthanarayanan
USENIX OSDI | November 2016
ISBN: 978-1-931971-33-1
-
Clarinet: WAN-Aware Optimization for Analytics Queries
Raajay Viswanathan, Ganesh Ananthanarayanan, Aditya Akella
USENIX OSDI | November 2016
ISBN: 978-1-931971-33-1
-
VIA: Improving Internet Telephony Call Quality Using Predictive Relay Selection
Junchen Jiang, Rajdeep Das, Ganesh Ananthanarayanan, Philip A. Chou, Venkat Padmanabhan, Vyas Sekar, Esbjorn Dominique, Marcin Goliszewski, Dalibor Kukoleca, Renat Vafin, Hui Zhang
ACM SIGCOMM | August 2016
-
Hold ’em or Fold ’em? Aggregation Queries under Performance Variations
Gautam Kumar, Ganesh Ananthanarayanan, Sylvia Ratnasamy, Ion Stoica
ACM EuroSys | April 2016
-
-
-
FastLane: Making Short Flows Shorter with Agile Drop Notification
David Zats, Anand Padmanabha Iyer, Ganesh Ananthanarayanan, Rachit Agarwal, Randy Katz, Ion Stoica, Amin Vahdat
ACM Symposium on Cloud Computing (SoCC) | August 2015
-
Hopper: Decentralized Speculation-aware Cluster Scheduling at Scale
Xiaoqi Ren, Ganesh Ananthanarayanan, Adam Wierman, Minlan Yu
ACM SIGCOMM | August 2015
-
Low Latency Geo-distributed Data Analytics
Qifan Pu, Ganesh Ananthanarayanan, Peter Bodík, Srikanth Kandula, Aditya Akella, Victor Bahl, Ion Stoica
ACM SIGCOMM | August 2015
-
Speculation-aware Cluster Scheduling
Xiaoqi Ren, Ganesh Ananthanarayanan, Adam Wierman, Minlan Yu
ACM SIGMETRICS Performance Evaluation Review | June 2015
-
-
-
Wrangler: Predictable and Faster Jobs using Fewer Resources
Neeraja J. Yadwadkar, Ganesh Ananthanarayanan, Randy Katz
ACM Symposium on Cloud Computing (SoCC) | November 2014
-
Big data Analytics Systems
Ganesh Ananthanarayanan, Ishai Menache
作者：Cambridge University Press | 2014
-
The Power of Choice in Data-Aware Cluster Scheduling
Shivaram Venkataraman, Aurojit Panda, Ganesh Ananthanarayanan, Michael J. Franklin, Ion Stoica
USENIX OSDI | October 2014
ISBN: 978-1-931971-16-4
-
Multi-resource Packing for Cluster Schedulers
Robert Grandl, Ganesh Ananthanarayanan, Srikanth Kandula, Sriram Rao, Aditya Akella
ACM SIGCOMM | August 2014
-
GRASS: Trimming Stragglers in Approximation Analytics
Ganesh Ananthanarayanan, Michael Chien-Chun Hung, Xiaoqi Ren, Ion Stoica, Adam Wierman, Minlan Yu
USENIX NSDI | April 2014
ISBN: 978-1-931971-09-6
-
-
-
Optimizing Parallel Job Performance in Data-Intensive Clusters
December 2013
博士论文：Ph.D. Thesis, EECS Department, University of California at Berkeley | December 2013
-
FastLane: Agile Drop Notification for Datacenter Networks
David Zats, Anand Iyer, Ganesh Ananthanarayanan, Randy Katz, Ion Stoica, Amin Vahdat
UCB/EECS-2013-173 | October 2013
-
Effective Straggler Mitigation: Attack of the Clones
Ganesh Ananthanarayanan, Ali Ghodsi, Scott Shenker, Ion Stoica
USENIX NSDI | April 2013
ISBN: 978-1-931971-00-3
-
-
-
True Elasticity in Multi-Tenant Data-Intensive Compute Clusters
Ganesh Ananthanarayanan, Christopher Douglas, Raghu Ramakrishnan, Sriram Rao, Ion Stoica
ACM Symposium on Cloud Computing (SoCC) | October 2012
-
Why let resources idle? Aggressive Cloning of Jobs with Dolly
Ganesh Ananthanarayanan, Ali Ghodsi, Scott Shenker, Ion Stoica
USENIX HotCloud | June 2012
-
PACMan: Coordinated Memory Caching for Parallel Jobs
Ganesh Ananthanarayanan, Ali Ghodsi, Andrew Wang, Dhruba Borthakur, Srikanth Kandula, Scott Shenker, Ion Stoica
USENIX NSDI | April 2012
-
-
-
Memento: Coordinated Caching for Data-Intensive Clusters
Ganesh Ananthanarayanan, Ali Ghodsi, Scott Shenker, Ion Stoica
September 2011
Allerton Conference [Invited Paper]
-
Disk-Locality in Datacenter Computing Considered Irrelevant
Ganesh Ananthanarayanan, Ali Ghodsi, Scott Shenker, Ion Stoica
USENIX HotOS | May 2011
-
Scarlett: Coping with Skewed Popularity Content in MapReduce Clusters
Ganesh Ananthanarayanan, Sameer Agarwal, Srikanth Kandula, Albert Greenberg, Ion Stoica, Duke Harlan, Ed Harris
ACM EuroSys | April 2011
-
-
-
Reining in the Outliers in Map-Reduce Clusters using Mantri
Ganesh Ananthanarayanan, Srikanth Kandula, Albert Greenberg, Ion Stoica, Yi Lu, Bikas Saha, Edward Harris
USENIX OSDI | October 2010
-
Reining in the Outliers in Map-Reduce Clusters using Mantri
Ganesh Ananthanarayanan, Srikanth Kandula, Albert Greenberg, Ion Stoica, Yi Lu, Bikas Saha, Edward Harris
MSR-TR-2010-2013 | June 2010
-
-
-
Enabling Innovation Below the Communication API
Ganesh Ananthanarayanan, Kurtis Heimerl, Matei Zaharia, Michael Demmer, Teemu Koponen, Arsalan Tavakoli, Scott Shenker, Ion Stoica
| September 2009
-
Blue-Fi: Enhancing Wi-Fi Performance using Bluetooth Signals
Ganesh Ananthanarayanan, Ion Stoica
ACM MobiSys | June 2009
-
StarTrack: A Framework for Enabling Track-Based Applications
Ganesh Ananthanarayanan, Maya Haridasan, Iqbal Mohomed, Doug Terry, Chandramohan A. Thekkath
ACM MobiSys | June 2009
-
-
-
Greening the Switch
Ganesh Ananthanarayanan, Randy H. Katz
USENIX HotPower | December 2008
-
A Randomized Defence of Virus Throttling
Miranda Mowbray, Ganesh Ananthanarayanan, Anthony Joseph
HPL-2008-135 | October 2008
HP Laboratories Tech Report, HPL-2008-135
-
-
-
COMBINE: Leveraging the Power of Wireless Peers through Collaborative Downloading
Ganesh Ananthanarayanan, Venkat Padmanabhan, Lenin Ravindranath, Chandu Thekkath
ACM MobiSys | June 2007
-
Collaborative Downloading for Multi-homed Wireless Devices
Ganesh Ananthanarayanan, Venkat Padmanabhan, Chandu Thekkath, Lenin Ravindranath
IEEE HotMobile | February 2007
-
-
-
SPACE: Secure Protocol for Address-Book based Connection Establishment
Ganesh Ananthanarayanan, Ramarathnam Venkatesan, Prasad Naldurg, Sean Blagsvedt, Adithya Hemakumar
ACM HotNets | November 2006
-
OWeB: A Framework for Offline Web Browsing
Ganesh Ananthanarayanan, Sean Blagsvedt, Kentaro Toyama
Latin American Web Congress (LA-WEB) | October 2006
-
-
-
METIS: Fast Quality-Aware RAG Systems with Configuration Adaptation
Siddhant Ray, Rui Pan, Zhuohan Gu, Kuntai Du, Shaoting Feng, Ganesh Ananthanarayanan, Ravi Netravali, Junchen Jiang
ACM SOSP | October 2025
-
AdaptCache: KV Cache Native Storage Hierarchy for Low-Delay and High-Quality Language Model Serving
Shaoting Feng, Hanchen Li, Kuntai Du, Zhuohan Gu, Yuhan Liu, Jiayi Yao, Siddhant Ray, Samuel Shen, Yihua Cheng, Ganesh Ananthanarayanan, Junchen Jiang
ACM SOSP BigMem Workshop | October 2025
-
Enterprise AI Must Enforce Participant-Aware Access Control
Shashank Shreedhar Bhatt, Tanmay Rajore, Khushboo Aggarwal, Ganesh Ananthanarayanan, Ranveer Chandra, Nishanth Chandran, Suyash Choudhury, Divya Gupta, Emre Kiciman, Shrey Pandey, Srinath Setty, Rahul Sharma, Teijia Zhao
arXiv:2509.14608 | September 2025
作者：arXiv
-
METIS: Fast Quality-Aware RAG Systems with Configuration Adaptation (TR)
Siddhant Ray, Rui Pan, Zhuohan Gu, Kuntai Du, Shaoting Feng, Ganesh Ananthanarayanan, Ravi Netravali, Junchen Jiang
arXiv:2412.10543 | December 2024
作者：arXiv
-
CacheGen: Fast Context Loading for Language Model Applications via KV Cache Streaming
Yuhan Liu, Hanchen Li, Yihua Cheng, Siddhant Ray, Yuyang Huang, Qizheng Zhang, Kuntai Du, Jiayi Yao, Shan Lu, Ganesh Ananthanarayanan, Michael Maire, Henry Hoffmann, Ari Holtzman, Junchen Jiang
SIGCOMM | August 2024
-
Vulcan: Automatic Query Planning for Live ML Analytics
Yiwen Zhang, Xumiao Zhang, Ganesh Ananthanarayanan, Anand Iyer, Yuanchao Shu, Victor Bahl, Z. Morley Mao, Mosharaf Chowdhury
USENIX NSDI | April 2024
-
OneAdapt: Fast Adaptation for Deep Learning Applications via Backpropagation
Kuntai Du, Yihan Liu, Qizheng Zhang, Haodong Wwang, Yuyang Huang, Ganesh Ananthanarayanan, Junchen Jiang
ACM Symposium on Cloud Computing (SoCC) | November 2023
-
Tambur: Efficient loss recovery for videoconferencing via streaming codes
Michael Rudow, Francis Y. Yan, Abhishek Kumar, Ganesh Ananthanarayanan, Martin Ellis, K.V. Rashmi
USENIX Symposium on Networked Systems Design and Implementation (NSDI ’23) | April 2023
-
Project Rocket platform—designed for easy, customizable live video analytics—is open source
Ganesh Ananthanarayanan, Yuanchao Shu, Landon Cox, Victor Bahl
January 2020
-
Cracking open the DNN black-box: Video Analytics with DNNs across the Camera-Cloud Boundary
John Emmons, Sadjad Fouladi, Ganesh Ananthanarayanan, Shivaram Venkataraman, Silvio Savarese, Keith Winstein
Workshop on Hot Topics in Video Analytics and Intelligent Edges (HotEdgeVideo) | October 2019
-
Collage Inference: Achieving low tail latency during distributed image classification using coded redundancy models
Krishna Giri Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram
ICML 2019 Workshop on Coding Theory For Large-scale Machine Learning | June 2019
-
Scaling Video Analytics Systems to Large Camera Deployments
Samvit Jain, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Joseph E. Gonzalez
ACM HotMobile | February 2019
-
-
-
Distributed AI Platform for the 6G RAN
Ganesh Ananthanarayanan, Matthew Balkwill, Xenofon Foukas, Zhihua Lai, Bozidar Radunovic, Connor Settle, Yongguang Zhang
ACM MobiCom Open-AI RAN Workshop | November 2025
-
METIS: Fast Quality-Aware RAG Systems with Configuration Adaptation
Siddhant Ray, Rui Pan, Zhuohan Gu, Kuntai Du, Shaoting Feng, Ganesh Ananthanarayanan, Ravi Netravali, Junchen Jiang
ACM SOSP | October 2025
-
AdaptCache: KV Cache Native Storage Hierarchy for Low-Delay and High-Quality Language Model Serving
Shaoting Feng, Hanchen Li, Kuntai Du, Zhuohan Gu, Yuhan Liu, Jiayi Yao, Siddhant Ray, Samuel Shen, Yihua Cheng, Ganesh Ananthanarayanan, Junchen Jiang
ACM SOSP BigMem Workshop | October 2025
-
METIS: Fast Quality-Aware RAG Systems with Configuration Adaptation (TR)
Siddhant Ray, Rui Pan, Zhuohan Gu, Kuntai Du, Shaoting Feng, Ganesh Ananthanarayanan, Ravi Netravali, Junchen Jiang
arXiv:2412.10543 | December 2024
作者：arXiv
-
CacheGen: Fast Context Loading for Language Model Applications via KV Cache Streaming
Yuhan Liu, Hanchen Li, Yihua Cheng, Siddhant Ray, Yuyang Huang, Qizheng Zhang, Kuntai Du, Jiayi Yao, Shan Lu, Ganesh Ananthanarayanan, Michael Maire, Henry Hoffmann, Ari Holtzman, Junchen Jiang
SIGCOMM | August 2024
-
Vulcan: Automatic Query Planning for Live ML Analytics
Yiwen Zhang, Xumiao Zhang, Ganesh Ananthanarayanan, Anand Iyer, Yuanchao Shu, Victor Bahl, Z. Morley Mao, Mosharaf Chowdhury
USENIX NSDI | April 2024
-
OneAdapt: Fast Adaptation for Deep Learning Applications via Backpropagation
Kuntai Du, Yihan Liu, Qizheng Zhang, Haodong Wwang, Yuyang Huang, Ganesh Ananthanarayanan, Junchen Jiang
ACM Symposium on Cloud Computing (SoCC) | November 2023
-
Tambur: Efficient loss recovery for videoconferencing via streaming codes
Michael Rudow, Francis Y. Yan, Abhishek Kumar, Ganesh Ananthanarayanan, Martin Ellis, K.V. Rashmi
USENIX Symposium on Networked Systems Design and Implementation (NSDI ’23) | April 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, Guoqing Harry Xu , Ravi Netravali
USENIX NSDI | April 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
USENIX NSDI | April 2023
-
Leading pedestrian intervals – Yay or Nay? A Before-After evaluation of multiple conflict types using an enhanced Non-Stationary framework integrating quantile regression into Bayesian hierarchical extreme value analysis
Ashutosh Arun, Craig Lyon, Tarek Sayed, Simon Washington, Franz Loewenherz, Darcy Akers, Ganesh Ananthanarayanan, Yuanchao Shu, Mark Bandy, Md. Mazharul Haque
Accident Analysis & Prevention | March 2023, 第 181 卷
-
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers
Romil Bhardwaj , Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Nikolaos Karianakis, Kevin Hsieh, Victor Bahl, Ion Stoica
USENIX NSDI | April 2022
-
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, Guoqing Harry Xu, Ravi Netravali
arXiv:2201.07705 | January 2022
-
Spider: A Multi-Hop Millimeter-Wave Network for Live Video Analytics
Zhuqi Li, Yuanchao Shu, Ganesh Ananthanarayanan, Longfei Shangguan, Kyle Jamieson, Victor Bahl
ACM/IEEE Symposium on Edge Computing | December 2021
-
Towards Memory-Efficient Inference in Edge Video Analytics
Arthi Padmanabhan, Anand Iyer, Ganesh Ananthanarayanan, Yuanchao Shu, Nikolaos Karianakis, Guoqing Harry Xu, Ravi Netravali
Workshop on Hot Topics in Video Analytics and Intelligent Edges (HotEdgeVideo) | October 2021
-
PECAM: Privacy-Enhanced Video Streaming and Analytics via Securely-Reversible Transformation
Hao Wu, Xuejin Tian, Minghao Li, Yunxin Liu, Ganesh Ananthanarayanan, Fengyuan Xu, Sheng Zhong
MobiCom '21 | October 2021
-
Collage Inference: Using Coded Redundancy for Lowering Latency Variation in Distributed Image Classification Systems
Krishna Giri Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram
IEEE International Conference on Distributed Computing Systems (ICDCS) | December 2020
-
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers (TR)
Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Nikolaos Karianakis, Yuanchao Shu, Kevin Hsieh, Victor Bahl, Ion Stoica
MSR-TR-2020-44 | December 2020
作者：Microsoft
arXiv:2012.10557
-
On the Future of Congestion Control for the Public Internet
Lloyd Brown , Ganesh Ananthanarayanan, Ethan Katz-Bassett , Arvind Krishnamurthy , Sylvia Ratnasamy , Michael Schapira , Scott Shenker
ACM Workshop on Hot Topics in Networks (HotNets) | November 2020
-
Spatula: Efficient cross-camera video analytics on large camera networks
Samvit Jain, Xun Zhang, Yuhao Zhou, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Victor Bahl, Joseph Gonzalez
ACM/IEEE Symposium on Edge Computing (SEC 2020) | November 2020
SEC 2020 Best Paper Award
-
Visor: Privacy-Preserving Video Analytics as a Cloud Service
Rishabh Poddar, Ganesh Ananthanarayanan, Srinath Setty, Stavros Volos, Raluca Ada Popa
29th USENIX Security Symposium | August 2020
CSAW 2020 Applied Research Competition Award (Runner-up)
-
Live Video Analytics with Microsoft Rocket for reducing edge compute costs
Ganesh Ananthanarayanan, Yuanchao Shu, Mustafa Kasap, Avi Kewalramani, Milan Gada, Victor Bahl
July 2020
-
Spider: Next generation Live Video Analytics over Millimeter-Wave Networks
Zhuqi Li, Yuanchao Shu, Ganesh Ananthanarayanan, Longfei Shangguan, Kyle Jamieson, Victor Bahl
MSR-TR-2020-17 | May 2020
作者：Microsoft
-
The Emerging Landscape of Edge-Computing
Shadi Noghabi, Landon Cox, Sharad Agarwal, Ganesh Ananthanarayanan
ACM SIGMOBILE GetMobile | March 2020
-
Project Rocket platform—designed for easy, customizable live video analytics—is open source
Ganesh Ananthanarayanan, Yuanchao Shu, Landon Cox, Victor Bahl
January 2020
-
Traffic Video Analytics – Case Study Report
Ganesh Ananthanarayanan, Victor Bahl, Yuanchao Shu, Franz Loewenherz, Daniel Lai, Darcy Akers, Peiwei Cao, Fan Xia, Jiangbo Zhang, Ashley Song
MSR-TR-1970-3 | December 2019
作者：Microsoft and City of Bellevue
-
Cracking open the DNN black-box: Video Analytics with DNNs across the Camera-Cloud Boundary
John Emmons, Sadjad Fouladi, Ganesh Ananthanarayanan, Shivaram Venkataraman, Silvio Savarese, Keith Winstein
Workshop on Hot Topics in Video Analytics and Intelligent Edges (HotEdgeVideo) | October 2019
-
Networked Cameras Are the New Big Data Clusters
Junchen Jiang, Yuhao Zhou, Ganesh Ananthanarayanan, Yuanchao Shu, Andrew A. Chien
Workshop on Hot Topics in Video Analytics and Intelligent Edges (HotEdgeVideo) | October 2019
-
Zooming in on Wide-area Latencies to a Global Cloud Provider
Yuchen Jin, Sundararajan R, Ganesh Ananthanarayanan, Junchen Jiang, Venkat Padmanabhan, Manuel Schroder, Matt Calder, Arvind Krishnamurthy
ACM SIGCOMM | August 2019
-
Machine Learning at the Network Edge: A Survey
M. G. Sarwar Murshed, Christopher Murphy, Daqing Hou, Nazar Khan, Ganesh Ananthanarayanan, Faraz Hussain
ACM Computing Surveys | July 2019
-
Demo: Video Analytics – Killer App for Edge Computing
Ganesh Ananthanarayanan, Victor Bahl, Landon Cox, Alex Crown, Shadi Noghabi, Yuanchao Shu
ACM MobiSys | June 2019
MobiSys Best Demo Runner-up Award
-
Collage Inference: Achieving low tail latency during distributed image classification using coded redundancy models
Krishna Giri Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram
ICML 2019 Workshop on Coding Theory For Large-scale Machine Learning | June 2019
-
Scaling Video Analytics Systems to Large Camera Deployments
Samvit Jain, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Joseph E. Gonzalez
ACM HotMobile | February 2019
-
VideoEdge: Processing Camera Streams using Hierarchical Clusters
Chien-Chun Hung, Ganesh Ananthanarayanan, Peter Bodík, Leana Golubchik, Minlan Yu, Victor Bahl, Matthai Philipose
ACM/IEEE Symposium on Edge Computing (SEC) | October 2018
-
Focus: Querying Large Video Datasets with Low Latency and Low Cost
Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Shivaram Venkataraman, Victor Bahl, Matthai Philipose, Phillip B. Gibbons , Onur Mutlu
USENIX OSDI | October 2018
-
Chameleon: Scalable Adaptation of Video Analytics
Junchen Jiang, Ganesh Ananthanarayanan, Peter Bodík, Siddhartha Sen, Ion Stoica
ACM Special Interest Group on Data Communication (SIGCOMM) | August 2018
-
Wide-Area Analytics with Multiple Resources
Chien-Chun Hung, Ganesh Ananthanarayanan, Leana Golubchik, Minlan Yu, Mingyang Zhang
ACM EuroSys | April 2018
-
Odin: Microsoft’s Scalable Fault-Tolerant CDN Measurement System
Matt Calder, Manuel Schroder, Ryan Gao, Ryan Stewart, Jitu Padhye, Ratul Mahajan, Ganesh Ananthanarayanan, Ethan Katz-Bassett
USENIX NSDI | April 2018
-
Focus: Querying Large Video Datasets with Low Latency and Low Cost [Tech Report]
Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Victor Bahl, Matthai Philipose, Phillip B. Gibbons, Onur Mutlu
MSR-TR-2018-1 | January 2018
作者：Microsoft
arXiv:1801.03493
-
Real-time Video Analytics: the killer app for edge computing
Ganesh Ananthanarayanan, Victor Bahl, Peter Bodík, Krishna Chintalapudi, Matthai Philipose, Lenin Ravindranath Sivalingam, Sudipta Sinha
IEEE Computer | October 2017
-
Live Video Analytics at Scale with Approximation and Delay-Tolerance
Haoyu Zhang, Ganesh Ananthanarayanan, Peter Bodík, Matthai Philipose, Victor Bahl, Michael Freedman
USENIX NSDI | March 2017
-
Altruistic Scheduling in Multi-Resource Clusters
Robert Grandl, Mosharaf Chowdhury, Aditya Akella, Ganesh Ananthanarayanan
USENIX OSDI | November 2016
ISBN: 978-1-931971-33-1
-
Clarinet: WAN-Aware Optimization for Analytics Queries
Raajay Viswanathan, Ganesh Ananthanarayanan, Aditya Akella
USENIX OSDI | November 2016
ISBN: 978-1-931971-33-1
-
VIA: Improving Internet Telephony Call Quality Using Predictive Relay Selection
Junchen Jiang, Rajdeep Das, Ganesh Ananthanarayanan, Philip A. Chou, Venkat Padmanabhan, Vyas Sekar, Esbjorn Dominique, Marcin Goliszewski, Dalibor Kukoleca, Renat Vafin, Hui Zhang
ACM SIGCOMM | August 2016
-
Hold ’em or Fold ’em? Aggregation Queries under Performance Variations
Gautam Kumar, Ganesh Ananthanarayanan, Sylvia Ratnasamy, Ion Stoica
ACM EuroSys | April 2016
-
FastLane: Making Short Flows Shorter with Agile Drop Notification
David Zats, Anand Padmanabha Iyer, Ganesh Ananthanarayanan, Rachit Agarwal, Randy Katz, Ion Stoica, Amin Vahdat
ACM Symposium on Cloud Computing (SoCC) | August 2015
-
Hopper: Decentralized Speculation-aware Cluster Scheduling at Scale
Xiaoqi Ren, Ganesh Ananthanarayanan, Adam Wierman, Minlan Yu
ACM SIGCOMM | August 2015
-
Low Latency Geo-distributed Data Analytics
Qifan Pu, Ganesh Ananthanarayanan, Peter Bodík, Srikanth Kandula, Aditya Akella, Victor Bahl, Ion Stoica
ACM SIGCOMM | August 2015
-
Speculation-aware Cluster Scheduling
Xiaoqi Ren, Ganesh Ananthanarayanan, Adam Wierman, Minlan Yu
ACM SIGMETRICS Performance Evaluation Review | June 2015
-
Wrangler: Predictable and Faster Jobs using Fewer Resources
Neeraja J. Yadwadkar, Ganesh Ananthanarayanan, Randy Katz
ACM Symposium on Cloud Computing (SoCC) | November 2014
-
Big data Analytics Systems
Ganesh Ananthanarayanan, Ishai Menache
作者：Cambridge University Press | 2014
-
The Power of Choice in Data-Aware Cluster Scheduling
Shivaram Venkataraman, Aurojit Panda, Ganesh Ananthanarayanan, Michael J. Franklin, Ion Stoica
USENIX OSDI | October 2014
ISBN: 978-1-931971-16-4
-
Multi-resource Packing for Cluster Schedulers
Robert Grandl, Ganesh Ananthanarayanan, Srikanth Kandula, Sriram Rao, Aditya Akella
ACM SIGCOMM | August 2014
-
GRASS: Trimming Stragglers in Approximation Analytics
Ganesh Ananthanarayanan, Michael Chien-Chun Hung, Xiaoqi Ren, Ion Stoica, Adam Wierman, Minlan Yu
USENIX NSDI | April 2014
ISBN: 978-1-931971-09-6
-
Optimizing Parallel Job Performance in Data-Intensive Clusters
December 2013
博士论文：Ph.D. Thesis, EECS Department, University of California at Berkeley | December 2013
-
FastLane: Agile Drop Notification for Datacenter Networks
David Zats, Anand Iyer, Ganesh Ananthanarayanan, Randy Katz, Ion Stoica, Amin Vahdat
UCB/EECS-2013-173 | October 2013
-
Effective Straggler Mitigation: Attack of the Clones
Ganesh Ananthanarayanan, Ali Ghodsi, Scott Shenker, Ion Stoica
USENIX NSDI | April 2013
ISBN: 978-1-931971-00-3
-
True Elasticity in Multi-Tenant Data-Intensive Compute Clusters
Ganesh Ananthanarayanan, Christopher Douglas, Raghu Ramakrishnan, Sriram Rao, Ion Stoica
ACM Symposium on Cloud Computing (SoCC) | October 2012
-
Why let resources idle? Aggressive Cloning of Jobs with Dolly
Ganesh Ananthanarayanan, Ali Ghodsi, Scott Shenker, Ion Stoica
USENIX HotCloud | June 2012
-
PACMan: Coordinated Memory Caching for Parallel Jobs
Ganesh Ananthanarayanan, Ali Ghodsi, Andrew Wang, Dhruba Borthakur, Srikanth Kandula, Scott Shenker, Ion Stoica
USENIX NSDI | April 2012
-
Memento: Coordinated Caching for Data-Intensive Clusters
Ganesh Ananthanarayanan, Ali Ghodsi, Scott Shenker, Ion Stoica
September 2011
Allerton Conference [Invited Paper]
-
Scarlett: Coping with Skewed Popularity Content in MapReduce Clusters
Ganesh Ananthanarayanan, Sameer Agarwal, Srikanth Kandula, Albert Greenberg, Ion Stoica, Duke Harlan, Ed Harris
ACM EuroSys | April 2011
-
Reining in the Outliers in Map-Reduce Clusters using Mantri
Ganesh Ananthanarayanan, Srikanth Kandula, Albert Greenberg, Ion Stoica, Yi Lu, Bikas Saha, Edward Harris
MSR-TR-2010-2013 | June 2010
-
Enabling Innovation Below the Communication API
Ganesh Ananthanarayanan, Kurtis Heimerl, Matei Zaharia, Michael Demmer, Teemu Koponen, Arsalan Tavakoli, Scott Shenker, Ion Stoica
| September 2009
-
Greening the Switch
Ganesh Ananthanarayanan, Randy H. Katz
USENIX HotPower | December 2008
-
COMBINE: Leveraging the Power of Wireless Peers through Collaborative Downloading
Ganesh Ananthanarayanan, Venkat Padmanabhan, Lenin Ravindranath, Chandu Thekkath
ACM MobiSys | June 2007
-
Collaborative Downloading for Multi-homed Wireless Devices
Ganesh Ananthanarayanan, Venkat Padmanabhan, Chandu Thekkath, Lenin Ravindranath
IEEE HotMobile | February 2007
-
SPACE: Secure Protocol for Address-Book based Connection Establishment
Ganesh Ananthanarayanan, Ramarathnam Venkatesan, Prasad Naldurg, Sean Blagsvedt, Adithya Hemakumar
ACM HotNets | November 2006
-
OWeB: A Framework for Offline Web Browsing
Ganesh Ananthanarayanan, Sean Blagsvedt, Kentaro Toyama
Latin American Web Congress (LA-WEB) | October 2006
-
-
-
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, Guoqing Harry Xu , Ravi Netravali
USENIX NSDI | April 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
USENIX NSDI | April 2023
-
Leading pedestrian intervals – Yay or Nay? A Before-After evaluation of multiple conflict types using an enhanced Non-Stationary framework integrating quantile regression into Bayesian hierarchical extreme value analysis
Ashutosh Arun, Craig Lyon, Tarek Sayed, Simon Washington, Franz Loewenherz, Darcy Akers, Ganesh Ananthanarayanan, Yuanchao Shu, Mark Bandy, Md. Mazharul Haque
Accident Analysis & Prevention | March 2023, 第 181 卷
-
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, Guoqing Harry Xu, Ravi Netravali
arXiv:2201.07705 | January 2022
-
PECAM: Privacy-Enhanced Video Streaming and Analytics via Securely-Reversible Transformation
Hao Wu, Xuejin Tian, Minghao Li, Yunxin Liu, Ganesh Ananthanarayanan, Fengyuan Xu, Sheng Zhong
MobiCom '21 | October 2021
-
Collage Inference: Using Coded Redundancy for Lowering Latency Variation in Distributed Image Classification Systems
Krishna Giri Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram
IEEE International Conference on Distributed Computing Systems (ICDCS) | December 2020
-
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers (TR)
Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Nikolaos Karianakis, Yuanchao Shu, Kevin Hsieh, Victor Bahl, Ion Stoica
MSR-TR-2020-44 | December 2020
作者：Microsoft
arXiv:2012.10557
-
Spatula: Efficient cross-camera video analytics on large camera networks
Samvit Jain, Xun Zhang, Yuhao Zhou, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Victor Bahl, Joseph Gonzalez
ACM/IEEE Symposium on Edge Computing (SEC 2020) | November 2020
SEC 2020 Best Paper Award
-
Visor: Privacy-Preserving Video Analytics as a Cloud Service
Rishabh Poddar, Ganesh Ananthanarayanan, Srinath Setty, Stavros Volos, Raluca Ada Popa
29th USENIX Security Symposium | August 2020
CSAW 2020 Applied Research Competition Award (Runner-up)
-
Live Video Analytics with Microsoft Rocket for reducing edge compute costs
Ganesh Ananthanarayanan, Yuanchao Shu, Mustafa Kasap, Avi Kewalramani, Milan Gada, Victor Bahl
July 2020
-
Project Rocket platform—designed for easy, customizable live video analytics—is open source
Ganesh Ananthanarayanan, Yuanchao Shu, Landon Cox, Victor Bahl
January 2020
-
Traffic Video Analytics – Case Study Report
Ganesh Ananthanarayanan, Victor Bahl, Yuanchao Shu, Franz Loewenherz, Daniel Lai, Darcy Akers, Peiwei Cao, Fan Xia, Jiangbo Zhang, Ashley Song
MSR-TR-1970-3 | December 2019
作者：Microsoft and City of Bellevue
-
Scaling Video Analytics Systems to Large Camera Deployments
Samvit Jain, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Joseph E. Gonzalez
ACM HotMobile | February 2019
-
Focus: Querying Large Video Datasets with Low Latency and Low Cost
Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Shivaram Venkataraman, Victor Bahl, Matthai Philipose, Phillip B. Gibbons , Onur Mutlu
USENIX OSDI | October 2018
-
Chameleon: Scalable Adaptation of Video Analytics
Junchen Jiang, Ganesh Ananthanarayanan, Peter Bodík, Siddhartha Sen, Ion Stoica
ACM Special Interest Group on Data Communication (SIGCOMM) | August 2018
-
Focus: Querying Large Video Datasets with Low Latency and Low Cost [Tech Report]
Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Victor Bahl, Matthai Philipose, Phillip B. Gibbons, Onur Mutlu
MSR-TR-2018-1 | January 2018
作者：Microsoft
arXiv:1801.03493
-
-
-
Visor: Privacy-Preserving Video Analytics as a Cloud Service
Rishabh Poddar, Ganesh Ananthanarayanan, Srinath Setty, Stavros Volos, Raluca Ada Popa
29th USENIX Security Symposium | August 2020
CSAW 2020 Applied Research Competition Award (Runner-up)
-
SPACE: Secure Protocol for Address-Book based Connection Establishment
Ganesh Ananthanarayanan, Ramarathnam Venkatesan, Prasad Naldurg, Sean Blagsvedt, Adithya Hemakumar
ACM HotNets | November 2006
-
-
-
PACMan: Coordinated Memory Caching for Parallel Jobs
Ganesh Ananthanarayanan, Ali Ghodsi, Andrew Wang, Dhruba Borthakur, Srikanth Kandula, Scott Shenker, Ion Stoica
USENIX NSDI | April 2012
-
Disk-Locality in Datacenter Computing Considered Irrelevant
Ganesh Ananthanarayanan, Ali Ghodsi, Scott Shenker, Ion Stoica
USENIX HotOS | May 2011
-
Scarlett: Coping with Skewed Popularity Content in MapReduce Clusters
Ganesh Ananthanarayanan, Sameer Agarwal, Srikanth Kandula, Albert Greenberg, Ion Stoica, Duke Harlan, Ed Harris
ACM EuroSys | April 2011
-
Reining in the Outliers in Map-Reduce Clusters using Mantri
Ganesh Ananthanarayanan, Srikanth Kandula, Albert Greenberg, Ion Stoica, Yi Lu, Bikas Saha, Edward Harris
USENIX OSDI | October 2010
-
StarTrack: A Framework for Enabling Track-Based Applications
Ganesh Ananthanarayanan, Maya Haridasan, Iqbal Mohomed, Doug Terry, Chandramohan A. Thekkath
ACM MobiSys | June 2009
-
Blue-Fi: Enhancing Wi-Fi Performance using Bluetooth Signals
Ganesh Ananthanarayanan, Ion Stoica
ACM MobiSys | June 2009
-
A Randomized Defence of Virus Throttling
Miranda Mowbray, Ganesh Ananthanarayanan, Anthony Joseph
HPL-2008-135 | October 2008
HP Laboratories Tech Report, HPL-2008-135
-
-
-
OWeB: A Framework for Offline Web Browsing
Ganesh Ananthanarayanan, Sean Blagsvedt, Kentaro Toyama
Latin American Web Congress (LA-WEB) | October 2006
-
-
-
Distributed AI Platform for the 6G RAN
Ganesh Ananthanarayanan, Matthew Balkwill, Xenofon Foukas, Zhihua Lai, Bozidar Radunovic, Connor Settle, Yongguang Zhang
ACM MobiCom Open-AI RAN Workshop | November 2025
-
METIS: Fast Quality-Aware RAG Systems with Configuration Adaptation
Siddhant Ray, Rui Pan, Zhuohan Gu, Kuntai Du, Shaoting Feng, Ganesh Ananthanarayanan, Ravi Netravali, Junchen Jiang
ACM SOSP | October 2025
-
AdaptCache: KV Cache Native Storage Hierarchy for Low-Delay and High-Quality Language Model Serving
Shaoting Feng, Hanchen Li, Kuntai Du, Zhuohan Gu, Yuhan Liu, Jiayi Yao, Siddhant Ray, Samuel Shen, Yihua Cheng, Ganesh Ananthanarayanan, Junchen Jiang
ACM SOSP BigMem Workshop | October 2025
-
CacheGen: Fast Context Loading for Language Model Applications via KV Cache Streaming
Yuhan Liu, Hanchen Li, Yihua Cheng, Siddhant Ray, Yuyang Huang, Qizheng Zhang, Kuntai Du, Jiayi Yao, Shan Lu, Ganesh Ananthanarayanan, Michael Maire, Henry Hoffmann, Ari Holtzman, Junchen Jiang
SIGCOMM | August 2024
-
Vulcan: Automatic Query Planning for Live ML Analytics
Yiwen Zhang, Xumiao Zhang, Ganesh Ananthanarayanan, Anand Iyer, Yuanchao Shu, Victor Bahl, Z. Morley Mao, Mosharaf Chowdhury
USENIX NSDI | April 2024
-
OneAdapt: Fast Adaptation for Deep Learning Applications via Backpropagation
Kuntai Du, Yihan Liu, Qizheng Zhang, Haodong Wwang, Yuyang Huang, Ganesh Ananthanarayanan, Junchen Jiang
ACM Symposium on Cloud Computing (SoCC) | November 2023
-
Tambur: Efficient loss recovery for videoconferencing via streaming codes
Michael Rudow, Francis Y. Yan, Abhishek Kumar, Ganesh Ananthanarayanan, Martin Ellis, K.V. Rashmi
USENIX Symposium on Networked Systems Design and Implementation (NSDI ’23) | April 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, Guoqing Harry Xu , Ravi Netravali
USENIX NSDI | April 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
USENIX NSDI | April 2023
-
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers
Romil Bhardwaj , Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Nikolaos Karianakis, Kevin Hsieh, Victor Bahl, Ion Stoica
USENIX NSDI | April 2022
-
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, Guoqing Harry Xu, Ravi Netravali
arXiv:2201.07705 | January 2022
-
Spider: A Multi-Hop Millimeter-Wave Network for Live Video Analytics
Zhuqi Li, Yuanchao Shu, Ganesh Ananthanarayanan, Longfei Shangguan, Kyle Jamieson, Victor Bahl
ACM/IEEE Symposium on Edge Computing | December 2021
-
Towards Memory-Efficient Inference in Edge Video Analytics
Arthi Padmanabhan, Anand Iyer, Ganesh Ananthanarayanan, Yuanchao Shu, Nikolaos Karianakis, Guoqing Harry Xu, Ravi Netravali
Workshop on Hot Topics in Video Analytics and Intelligent Edges (HotEdgeVideo) | October 2021
-
PECAM: Privacy-Enhanced Video Streaming and Analytics via Securely-Reversible Transformation
Hao Wu, Xuejin Tian, Minghao Li, Yunxin Liu, Ganesh Ananthanarayanan, Fengyuan Xu, Sheng Zhong
MobiCom '21 | October 2021
-
Collage Inference: Using Coded Redundancy for Lowering Latency Variation in Distributed Image Classification Systems
Krishna Giri Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram
IEEE International Conference on Distributed Computing Systems (ICDCS) | December 2020
-
On the Future of Congestion Control for the Public Internet
Lloyd Brown , Ganesh Ananthanarayanan, Ethan Katz-Bassett , Arvind Krishnamurthy , Sylvia Ratnasamy , Michael Schapira , Scott Shenker
ACM Workshop on Hot Topics in Networks (HotNets) | November 2020
-
Spatula: Efficient cross-camera video analytics on large camera networks
Samvit Jain, Xun Zhang, Yuhao Zhou, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Victor Bahl, Joseph Gonzalez
ACM/IEEE Symposium on Edge Computing (SEC 2020) | November 2020
SEC 2020 Best Paper Award
-
Visor: Privacy-Preserving Video Analytics as a Cloud Service
Rishabh Poddar, Ganesh Ananthanarayanan, Srinath Setty, Stavros Volos, Raluca Ada Popa
29th USENIX Security Symposium | August 2020
CSAW 2020 Applied Research Competition Award (Runner-up)
-
Cracking open the DNN black-box: Video Analytics with DNNs across the Camera-Cloud Boundary
John Emmons, Sadjad Fouladi, Ganesh Ananthanarayanan, Shivaram Venkataraman, Silvio Savarese, Keith Winstein
Workshop on Hot Topics in Video Analytics and Intelligent Edges (HotEdgeVideo) | October 2019
-
Networked Cameras Are the New Big Data Clusters
Junchen Jiang, Yuhao Zhou, Ganesh Ananthanarayanan, Yuanchao Shu, Andrew A. Chien
Workshop on Hot Topics in Video Analytics and Intelligent Edges (HotEdgeVideo) | October 2019
-
Zooming in on Wide-area Latencies to a Global Cloud Provider
Yuchen Jin, Sundararajan R, Ganesh Ananthanarayanan, Junchen Jiang, Venkat Padmanabhan, Manuel Schroder, Matt Calder, Arvind Krishnamurthy
ACM SIGCOMM | August 2019
-
Demo: Video Analytics – Killer App for Edge Computing
Ganesh Ananthanarayanan, Victor Bahl, Landon Cox, Alex Crown, Shadi Noghabi, Yuanchao Shu
ACM MobiSys | June 2019
MobiSys Best Demo Runner-up Award
-
Collage Inference: Achieving low tail latency during distributed image classification using coded redundancy models
Krishna Giri Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram
ICML 2019 Workshop on Coding Theory For Large-scale Machine Learning | June 2019
-
Scaling Video Analytics Systems to Large Camera Deployments
Samvit Jain, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Joseph E. Gonzalez
ACM HotMobile | February 2019
-
VideoEdge: Processing Camera Streams using Hierarchical Clusters
Chien-Chun Hung, Ganesh Ananthanarayanan, Peter Bodík, Leana Golubchik, Minlan Yu, Victor Bahl, Matthai Philipose
ACM/IEEE Symposium on Edge Computing (SEC) | October 2018
-
Focus: Querying Large Video Datasets with Low Latency and Low Cost
Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Shivaram Venkataraman, Victor Bahl, Matthai Philipose, Phillip B. Gibbons , Onur Mutlu
USENIX OSDI | October 2018
-
Chameleon: Scalable Adaptation of Video Analytics
Junchen Jiang, Ganesh Ananthanarayanan, Peter Bodík, Siddhartha Sen, Ion Stoica
ACM Special Interest Group on Data Communication (SIGCOMM) | August 2018
-
Wide-Area Analytics with Multiple Resources
Chien-Chun Hung, Ganesh Ananthanarayanan, Leana Golubchik, Minlan Yu, Mingyang Zhang
ACM EuroSys | April 2018
-
Odin: Microsoft’s Scalable Fault-Tolerant CDN Measurement System
Matt Calder, Manuel Schroder, Ryan Gao, Ryan Stewart, Jitu Padhye, Ratul Mahajan, Ganesh Ananthanarayanan, Ethan Katz-Bassett
USENIX NSDI | April 2018
-
Live Video Analytics at Scale with Approximation and Delay-Tolerance
Haoyu Zhang, Ganesh Ananthanarayanan, Peter Bodík, Matthai Philipose, Victor Bahl, Michael Freedman
USENIX NSDI | March 2017
-
Altruistic Scheduling in Multi-Resource Clusters
Robert Grandl, Mosharaf Chowdhury, Aditya Akella, Ganesh Ananthanarayanan
USENIX OSDI | November 2016
ISBN: 978-1-931971-33-1
-
Clarinet: WAN-Aware Optimization for Analytics Queries
Raajay Viswanathan, Ganesh Ananthanarayanan, Aditya Akella
USENIX OSDI | November 2016
ISBN: 978-1-931971-33-1
-
VIA: Improving Internet Telephony Call Quality Using Predictive Relay Selection
Junchen Jiang, Rajdeep Das, Ganesh Ananthanarayanan, Philip A. Chou, Venkat Padmanabhan, Vyas Sekar, Esbjorn Dominique, Marcin Goliszewski, Dalibor Kukoleca, Renat Vafin, Hui Zhang
ACM SIGCOMM | August 2016
-
Hold ’em or Fold ’em? Aggregation Queries under Performance Variations
Gautam Kumar, Ganesh Ananthanarayanan, Sylvia Ratnasamy, Ion Stoica
ACM EuroSys | April 2016
-
FastLane: Making Short Flows Shorter with Agile Drop Notification
David Zats, Anand Padmanabha Iyer, Ganesh Ananthanarayanan, Rachit Agarwal, Randy Katz, Ion Stoica, Amin Vahdat
ACM Symposium on Cloud Computing (SoCC) | August 2015
-
Hopper: Decentralized Speculation-aware Cluster Scheduling at Scale
Xiaoqi Ren, Ganesh Ananthanarayanan, Adam Wierman, Minlan Yu
ACM SIGCOMM | August 2015
-
Low Latency Geo-distributed Data Analytics
Qifan Pu, Ganesh Ananthanarayanan, Peter Bodík, Srikanth Kandula, Aditya Akella, Victor Bahl, Ion Stoica
ACM SIGCOMM | August 2015
-
Wrangler: Predictable and Faster Jobs using Fewer Resources
Neeraja J. Yadwadkar, Ganesh Ananthanarayanan, Randy Katz
ACM Symposium on Cloud Computing (SoCC) | November 2014
-
The Power of Choice in Data-Aware Cluster Scheduling
Shivaram Venkataraman, Aurojit Panda, Ganesh Ananthanarayanan, Michael J. Franklin, Ion Stoica
USENIX OSDI | October 2014
ISBN: 978-1-931971-16-4
-
Multi-resource Packing for Cluster Schedulers
Robert Grandl, Ganesh Ananthanarayanan, Srikanth Kandula, Sriram Rao, Aditya Akella
ACM SIGCOMM | August 2014
-
GRASS: Trimming Stragglers in Approximation Analytics
Ganesh Ananthanarayanan, Michael Chien-Chun Hung, Xiaoqi Ren, Ion Stoica, Adam Wierman, Minlan Yu
USENIX NSDI | April 2014
ISBN: 978-1-931971-09-6
-
Effective Straggler Mitigation: Attack of the Clones
Ganesh Ananthanarayanan, Ali Ghodsi, Scott Shenker, Ion Stoica
USENIX NSDI | April 2013
ISBN: 978-1-931971-00-3
-
True Elasticity in Multi-Tenant Data-Intensive Compute Clusters
Ganesh Ananthanarayanan, Christopher Douglas, Raghu Ramakrishnan, Sriram Rao, Ion Stoica
ACM Symposium on Cloud Computing (SoCC) | October 2012
-
Why let resources idle? Aggressive Cloning of Jobs with Dolly
Ganesh Ananthanarayanan, Ali Ghodsi, Scott Shenker, Ion Stoica
USENIX HotCloud | June 2012
-
PACMan: Coordinated Memory Caching for Parallel Jobs
Ganesh Ananthanarayanan, Ali Ghodsi, Andrew Wang, Dhruba Borthakur, Srikanth Kandula, Scott Shenker, Ion Stoica
USENIX NSDI | April 2012
-
Disk-Locality in Datacenter Computing Considered Irrelevant
Ganesh Ananthanarayanan, Ali Ghodsi, Scott Shenker, Ion Stoica
USENIX HotOS | May 2011
-
Scarlett: Coping with Skewed Popularity Content in MapReduce Clusters
Ganesh Ananthanarayanan, Sameer Agarwal, Srikanth Kandula, Albert Greenberg, Ion Stoica, Duke Harlan, Ed Harris
ACM EuroSys | April 2011
-
Reining in the Outliers in Map-Reduce Clusters using Mantri
Ganesh Ananthanarayanan, Srikanth Kandula, Albert Greenberg, Ion Stoica, Yi Lu, Bikas Saha, Edward Harris
USENIX OSDI | October 2010
-
StarTrack: A Framework for Enabling Track-Based Applications
Ganesh Ananthanarayanan, Maya Haridasan, Iqbal Mohomed, Doug Terry, Chandramohan A. Thekkath
ACM MobiSys | June 2009
-
Blue-Fi: Enhancing Wi-Fi Performance using Bluetooth Signals
Ganesh Ananthanarayanan, Ion Stoica
ACM MobiSys | June 2009
-
Greening the Switch
Ganesh Ananthanarayanan, Randy H. Katz
USENIX HotPower | December 2008
-
COMBINE: Leveraging the Power of Wireless Peers through Collaborative Downloading
Ganesh Ananthanarayanan, Venkat Padmanabhan, Lenin Ravindranath, Chandu Thekkath
ACM MobiSys | June 2007
-
Collaborative Downloading for Multi-homed Wireless Devices
Ganesh Ananthanarayanan, Venkat Padmanabhan, Chandu Thekkath, Lenin Ravindranath
IEEE HotMobile | February 2007
-
SPACE: Secure Protocol for Address-Book based Connection Establishment
Ganesh Ananthanarayanan, Ramarathnam Venkatesan, Prasad Naldurg, Sean Blagsvedt, Adithya Hemakumar
ACM HotNets | November 2006
-
OWeB: A Framework for Offline Web Browsing
Ganesh Ananthanarayanan, Sean Blagsvedt, Kentaro Toyama
Latin American Web Congress (LA-WEB) | October 2006
-
-
-
Enterprise AI Must Enforce Participant-Aware Access Control
Shashank Shreedhar Bhatt, Tanmay Rajore, Khushboo Aggarwal, Ganesh Ananthanarayanan, Ranveer Chandra, Nishanth Chandran, Suyash Choudhury, Divya Gupta, Emre Kiciman, Shrey Pandey, Srinath Setty, Rahul Sharma, Teijia Zhao
arXiv:2509.14608 | September 2025
作者：arXiv
-
METIS: Fast Quality-Aware RAG Systems with Configuration Adaptation (TR)
Siddhant Ray, Rui Pan, Zhuohan Gu, Kuntai Du, Shaoting Feng, Ganesh Ananthanarayanan, Ravi Netravali, Junchen Jiang
arXiv:2412.10543 | December 2024
作者：arXiv
-
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers (TR)
Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Nikolaos Karianakis, Yuanchao Shu, Kevin Hsieh, Victor Bahl, Ion Stoica
MSR-TR-2020-44 | December 2020
作者：Microsoft
arXiv:2012.10557
-
Spider: Next generation Live Video Analytics over Millimeter-Wave Networks
Zhuqi Li, Yuanchao Shu, Ganesh Ananthanarayanan, Longfei Shangguan, Kyle Jamieson, Victor Bahl
MSR-TR-2020-17 | May 2020
作者：Microsoft
-
Traffic Video Analytics – Case Study Report
Ganesh Ananthanarayanan, Victor Bahl, Yuanchao Shu, Franz Loewenherz, Daniel Lai, Darcy Akers, Peiwei Cao, Fan Xia, Jiangbo Zhang, Ashley Song
MSR-TR-1970-3 | December 2019
作者：Microsoft and City of Bellevue
-
Focus: Querying Large Video Datasets with Low Latency and Low Cost [Tech Report]
Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Victor Bahl, Matthai Philipose, Phillip B. Gibbons, Onur Mutlu
MSR-TR-2018-1 | January 2018
作者：Microsoft
arXiv:1801.03493
-
FastLane: Agile Drop Notification for Datacenter Networks
David Zats, Anand Iyer, Ganesh Ananthanarayanan, Randy Katz, Ion Stoica, Amin Vahdat
UCB/EECS-2013-173 | October 2013
-
Reining in the Outliers in Map-Reduce Clusters using Mantri
Ganesh Ananthanarayanan, Srikanth Kandula, Albert Greenberg, Ion Stoica, Yi Lu, Bikas Saha, Edward Harris
MSR-TR-2010-2013 | June 2010
-
Enabling Innovation Below the Communication API
Ganesh Ananthanarayanan, Kurtis Heimerl, Matei Zaharia, Michael Demmer, Teemu Koponen, Arsalan Tavakoli, Scott Shenker, Ion Stoica
| September 2009
-
A Randomized Defence of Virus Throttling
Miranda Mowbray, Ganesh Ananthanarayanan, Anthony Joseph
HPL-2008-135 | October 2008
HP Laboratories Tech Report, HPL-2008-135
-
-
-
Leading pedestrian intervals – Yay or Nay? A Before-After evaluation of multiple conflict types using an enhanced Non-Stationary framework integrating quantile regression into Bayesian hierarchical extreme value analysis
Ashutosh Arun, Craig Lyon, Tarek Sayed, Simon Washington, Franz Loewenherz, Darcy Akers, Ganesh Ananthanarayanan, Yuanchao Shu, Mark Bandy, Md. Mazharul Haque
Accident Analysis & Prevention | March 2023, 第 181 卷
-
The Emerging Landscape of Edge-Computing
Shadi Noghabi, Landon Cox, Sharad Agarwal, Ganesh Ananthanarayanan
ACM SIGMOBILE GetMobile | March 2020
-
Machine Learning at the Network Edge: A Survey
M. G. Sarwar Murshed, Christopher Murphy, Daqing Hou, Nazar Khan, Ganesh Ananthanarayanan, Faraz Hussain
ACM Computing Surveys | July 2019
-
Real-time Video Analytics: the killer app for edge computing
Ganesh Ananthanarayanan, Victor Bahl, Peter Bodík, Krishna Chintalapudi, Matthai Philipose, Lenin Ravindranath Sivalingam, Sudipta Sinha
IEEE Computer | October 2017
-
Speculation-aware Cluster Scheduling
Xiaoqi Ren, Ganesh Ananthanarayanan, Adam Wierman, Minlan Yu
ACM SIGMETRICS Performance Evaluation Review | June 2015
-
-
-
Live Video Analytics with Microsoft Rocket for reducing edge compute costs
Ganesh Ananthanarayanan, Yuanchao Shu, Mustafa Kasap, Avi Kewalramani, Milan Gada, Victor Bahl
July 2020
-
Project Rocket platform—designed for easy, customizable live video analytics—is open source
Ganesh Ananthanarayanan, Yuanchao Shu, Landon Cox, Victor Bahl
January 2020
-
Memento: Coordinated Caching for Data-Intensive Clusters
Ganesh Ananthanarayanan, Ali Ghodsi, Scott Shenker, Ion Stoica
September 2011
Allerton Conference [Invited Paper]
-
-
-
Optimizing Parallel Job Performance in Data-Intensive Clusters
December 2013
博士论文：Ph.D. Thesis, EECS Department, University of California at Berkeley | December 2013
-
-
-
Big data Analytics Systems
Ganesh Ananthanarayanan, Ishai Menache
作者：Cambridge University Press | 2014
-