Ganesh Ananthanarayanan

Microsoft (United States) — United States

Computer Science · Physical Sciences

36h-index6.7kcitations90works6.82yr avg
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Research Topics

Cloud Computing and Resource Management(32), Caching and Content Delivery(19), IoT and Edge/Fog Computing(15), Advanced Neural Network Applications(14), Video Surveillance and Tracking Methods(12)

Publications90 total

CIS: Checkpointed Inference for Data Drift-Resilient Model Serving at Edge Servers
2025Open Access
METIS: Fast Quality-Aware RAG Systems with Configuration Adaptation
2025· 2 citedOpen Access
Enterprise AI Must Enforce Participant-Aware Access Control
arXiv (Cornell University)·2025Open Access
AdaptCache: KV Cache Native Storage Hierarchy for Low-Delay and High-Quality Language Model Serving
arXiv (Cornell University)·2025Open Access
METIS: Fast Quality-Aware RAG Systems with Configuration Adaptation
arXiv (Cornell University)·2024· 2 citedOpen Access
Distributed AI Platform for the 6G RAN
arXiv (Cornell University)·2024Open Access
CacheGen: KV Cache Compression and Streaming for Fast Large Language Model Serving
2024· 49 citedOpen Access
EdgeSight: Enabling Modeless and Cost-Efficient Inference at the Edge
arXiv (Cornell University)·2024· 1 citedOpen Access
OneAdapt
2023· 1 citedOpen Access
CacheGen: KV Cache Compression and Streaming for Fast Large Language Model Serving
arXiv (Cornell University)·2023Open Access
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
Accident Analysis & Prevention·2022· 24 cited
GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge
arXiv (Cornell University)·2022· 9 citedOpen Access
Towards Memory-Efficient Inference in Edge Video Analytics
2022
Spider: A Multi-Hop Millimeter-Wave Network for Live Video Analytics
2021· 1 cited
Towards memory-efficient inference in edge video analytics
2021· 8 citedOpen Access
Pervasive Video and Audio
IEEE Pervasive Computing·2021Open Access
PECAM
2021· 45 cited
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers
arXiv (Cornell University)·2020· 21 citedOpen Access
Ekya: Continuous Learning of Video Analytics Models on Edge Compute\n Servers
arXiv (Cornell University)·2020· 6 citedOpen Access
Spatula: Efficient cross-camera video analytics on large camera networks
2020· 84 cited
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Frequent Co-authors

Ion Stoica(16), Junchen Jiang(9), Srikanth Kandula(7), Paramvir Bahl(7), Peter Bodík(7), Yuanchao Shu(7), Aditya Akella(6), Scott Shenker(5), Minlan Yu(5), Matthai Philipose(4), Ali Ghodsi(4), Venkata N. Padmanabhan(4), Lenin Ravindranath(3), Robert Grandl(3), Sriram Rao(3), Xiaoqi Ren(3), Adam Wierman(3), Randy H. Katz(3), Chandramohan A. Thekkath(3), Samvit Jain(3)