Portrait of Ganesh Ananthanarayanan

Ganesh Ananthanarayanan

Researcher

About

I am a Researcher in the Mobility and Networking group at Microsoft Research.

I finished my Ph.D. in the AMP Lab at Berkeley in Dec 2013, advised by Ion Stoica.

I’m interested in all aspects of systems and networking. My current research focus:

Video Processing: Cameras are everywhere! Large-scale video processing is a grand challenge representing an important frontier. With the rising popularity of Internet of Things videos from factory floors, traffic and police, and retail shops, cameras represent the most challenging of the “things” in terms of data volume, (vision) processing algorithms, response latencies, and security sensitivities. [Focus] [NSDI’17] [IEEE Computer’17]
Cloud-client Network Performance: Companies like Microsoft have multiple services with worldwide clients that continuously measure performance. Using this large scale data, orders of magnitude more than prior studies, we seek to better understand network performance and create a continuous performance map of the Internet. [NSDI’18][SIGCOMM’16][PinDrop]
Geo-distributed Analytics: The next generation of big data analytics will no longer be confined to one datacenter but happen across multiple datacenters, edge clusters etc. How will the infrastructure for geo-distributed analytics look like? [EuroSys’18] [OSDI’16-a] [SIGCOMM’15-a]
Datacenter Resource Management: Resource management is critical for large scale clusters executing complex computations. We design scheduling solutions – straggler mitigation, fairness, packing, etc. – based on theoretically-founded principles while considering multiple resources (CPU, memory, disk, network). [OSDI’16-b][SIGCOMM’15-b][OSDI’14][SIGCOMM’14][NSDI’14]

Scholar page

Projects

Publications

Other

  • Taming the Video Star! Real-time Video Analytics at Scale
    ETH, Zurich, Aug 2017
    Univ. of California, Berkeley, May 2017
    Cornell University, Apr 2017
  • Video Analytics for Vision Zero
    Smart City Expo, Barcelona, Nov 2017
    ITS World Congress, Montreal, Nov 2017
    Microsoft Office of the CTO Summit, Redmond, Feb 2017
  • Geo-distributed Data Analytics [pptx]
    Univ. of Wisconsin, Madison, Oct 2015
  • Big Data Analytics with Parallel Jobs [pptx]
    EPFL, Lausanne, Apr 2013
    Univ. of Illinois, Urbana-Champaign, Mar 2013
    Georgia Tech, Atlanta, Feb 2013
  • Effective Straggler Mitigation: Attack of the Clones [pptx]
    AMPLab Summer Retreat, May 2012 and Hortonworks Inc., Nov 2012
  • PACMan: Coordinated Memory Caching for Parallel Jobs [pptx]
    Intel ISTC-CC Retreat, Nov 2012, and VMWare Inc., May 2012
  • Coordinated In-Memory Caching for Data Intensive Clusters [pptx]
    Yahoo! Research, Jun 2011 and Huawei Technologies Co. Ltd., Jul 2011
  • Disk-Locality in Datacenter Computing Considered Irrelevant [pptx]
    USENIX HotOS, May 2011 and Berkeley Cloud Seminar, Feb 2011
  • Scarlett: Coping with Skewed Popularity Content in MapReduce Clusters [pptx]
    Hortonworks Inc., Jul 2011, Cloudera Inc., Apr 2011, and Facebook Inc., Nov 2010
  • Reining in the Outliers in MapReduce Clusters using Mantri [pptx]
    Yahoo! Research, Nov 2010

Students

I’ve worked with the following students. Drop me a note if you are interested in an internship.

  • Robert Grandl, UWisconsin [Tetris @ SIGCOMM’14, Carbyne @ OSDI’16]
  • Chien-Chun (Michael) Hung, Univ of Southern California [GRASS @ NSDI’14, Tetrium @ EuroSys’18]
    Ph.D. Thesis Committee
  • Junchen Jiang, CMU [Via @ SIGCOMM’16]
  • Gautam Kumar, Berkeley [Cedar @ EuroSys’16]
  • Qifan Pu, Berkeley [Iridium @ SIGCOMM’15]
  • Xiaoqi Ren, Caltech [GRASS @NSDI’14, Hopper @ SIGCOMM’15]
  • Raajay Viswanathan, UWisconsin [Clarinet @ OSDI’16]
  • Neeraja Yadwadkar, Berkeley [Wrangler @ SoCC’14]
  • Haoyu Zhang, Princeton [VideoStorm @ NSDI’17]