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Ganesh Ananthanarayanan

Ganesh Ananthanarayanan

D-Index & Metrics

Computer Science

D-Index
39
Citations
8829
World Ranking
9596
National Ranking
4067

Overview

Ganesh Ananthanarayanan is affiliated with Microsoft in the United States. Their research spans multiple aspects of computer science, with a focus on advanced technologies such as artificial intelligence, computer vision, and computer networks.

The main fields of study for Ganesh Ananthanarayanan include:

  • Computer Science

Within this domain, their subfields of study are:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications
  • Control and Systems Engineering
  • Information Systems

The scientist's work covers various specific topics, reflecting a breadth of research interests:

  • Advanced Neural Network Applications
  • Data Stream Mining Techniques
  • Image Enhancement Techniques
  • IoT and Edge/Fog Computing
  • Cloud Computing and Resource Management
  • Caching and Content Delivery
  • Traffic and Road Safety

Ganesh Ananthanarayanan has contributed to several recent publications, including:

  • The Emerging Landscape of Edge Computing, 2020, published in GetMobile Mobile Computing and Communications
  • 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, 2022, published in Accident Analysis & Prevention
  • Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers, 2020, published in arXiv (Cornell University)
  • Visor: Privacy-Preserving Video Analytics as a Cloud Service, 2020, published in arXiv (Cornell University)
  • GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge, 2022, published in arXiv (Cornell University)

Frequent co-authors collaborating with Ganesh Ananthanarayanan include:

  • Yuanchao Shu
  • Junchen Jiang
  • Nikolaos Karianakis
  • Romil Bhardwaj
  • Zhengxu Xia

The principal publication venues for Ganesh's work are:

  • arXiv (Cornell University)
  • GetMobile Mobile Computing and Communications
  • Accident Analysis & Prevention
  • IEEE Pervasive Computing

Best Publications

  • Reining in the outliers in map-reduce clusters using Mantri

    Ganesh Ananthanarayanan;Srikanth Kandula;Albert Greenberg;Ion Stoica

  • Effective straggler mitigation: attack of the clones

    Ganesh Ananthanarayanan;Ali Ghodsi;Scott Shenker;Ion Stoica

  • Multi-resource packing for cluster schedulers

    Robert Grandl;Ganesh Ananthanarayanan;Srikanth Kandula;Sriram Rao

  • Real-Time Video Analytics: The Killer App for Edge Computing

    Ganesh Ananthanarayanan;Paramvir Bahl;Peter Bodik;Krishna Chintalapudi

  • Machine Learning at the Network Edge: A Survey

    M. G. Sarwar Murshed;Christopher Murphy;Daqing Hou;Nazar Khan

  • Chameleon: scalable adaptation of video analytics

    Junchen Jiang;Ganesh Ananthanarayanan;Peter Bodik;Siddhartha Sen

  • Scarlett: coping with skewed content popularity in mapreduce clusters

    Ganesh Ananthanarayanan;Sameer Agarwal;Srikanth Kandula;Albert Greenberg

  • PACMan: coordinated memory caching for parallel jobs

    Ganesh Ananthanarayanan;Ali Ghodsi;Andrew Wang;Dhruba Borthakur

  • Low Latency Geo-distributed Data Analytics

    Qifan Pu;Ganesh Ananthanarayanan;Peter Bodik;Srikanth Kandula

  • Live video analytics at scale with approximation and delay-tolerance

    Haoyu Zhang;Ganesh Ananthanarayanan;Peter Bodik;Matthai Philipose

  • VideoEdge: Processing Camera Streams using Hierarchical Clusters

    Chien-Chun Hung;Ganesh Ananthanarayanan;Peter Bodik;Leana Golubchik

  • Blue-Fi: enhancing Wi-Fi performance using bluetooth signals

    Ganesh Ananthanarayanan;Ion Stoica

  • Disk-locality in datacenter computing considered irrelevant

    Ganesh Ananthanarayanan;Ali Ghodsi;Scott Shenker;Ion Stoica

  • COMBINE: leveraging the power of wireless peers through collaborative downloading

    Ganesh Ananthanarayanan;Venkata N. Padmanabhan;Lenin Ravindranath;Chandramohan A. Thekkath

  • GRASS: trimming stragglers in approximation analytics

    Ganesh Ananthanarayanan;Michael Chien-Chun Hung;Xiaoqi Ren;Ion Stoica

  • Altruistic scheduling in multi-resource clusters

    Robert Grandl;Mosharaf Chowdhury;Aditya Akella;Ganesh Ananthanarayanan

  • Greening the switch

    Ganesh Ananthanarayanan;Randy H. Katz

  • Focus: querying large video datasets with low latency and low cost

    Kevin Hsieh;Ganesh Ananthanarayanan;Peter Bodik;Shivaram Venkataraman

  • Wrangler: Predictable and Faster Jobs using Fewer Resources

    Neeraja J. Yadwadkar;Ganesh Ananthanarayanan;Randy Katz

  • Hopper: Decentralized Speculation-aware Cluster Scheduling at Scale

    Xiaoqi Ren;Ganesh Ananthanarayanan;Adam Wierman;Minlan Yu

  • Automated secure pairing for wireless devices

    Ganesh Ananthanarayanan;Sean Blagsvedt;Ramarathnam Venkatesan

Frequent Co-Authors

Ion Stoica
Ion Stoica University of California, Berkeley
Matthai Philipose
Matthai Philipose Microsoft (United States)
Srikanth Kandula
Srikanth Kandula Microsoft (United States)
Scott Shenker
Scott Shenker University of California, Berkeley
Paramvir Bahl
Paramvir Bahl Microsoft (United States)
Kentaro Toyama
Kentaro Toyama University of Michigan–Ann Arbor
Venkata N. Padmanabhan
Venkata N. Padmanabhan Microsoft (United States)
Edward Cutrell
Edward Cutrell Microsoft (United States)
Ali Ghodsi
Ali Ghodsi University of Waterloo
A. Salman Avestimehr
A. Salman Avestimehr University of Southern California

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