Gourav Rattihalli

I'm a Research scientist at Hewlett Packard Labs. I completed my Doctoral studies at Binghamton University in September 2019. I was guided by Prof. Madhusudhan Govindraju. My current interests are Resource Management, Container Management(Docker), Distributed Systems, Big Data, and Cloud Computing.

One of my dockerized benchmarks, 'DGEMM' was pulled over 100k times.

Education

  • Ph.D. Computer Science

  • Binghamton University
  • 2019

  • M.Sc. Computer Science

  • VIT University, Vellore, India
  • 2015

  • B.Sc. Mathematics, Statistics, Computer Science

  • P.C. Jabin Science College, Hubballi, India
  • 2013

Work Experiance


  • Research Scientist

  • Hewlett Packard Labs (HPE)
  • Current

  • Software Designer V

  • Hewlett Packard Enterprise (HPE)
  • September 2019 - May 2022

  • Cloud/Airwave Intern

  • Hewlett Packard Enterprise (HPE)
  • May 2018 - August 2018

  • Cloud Infrastructure Automation Intern

  • Autodesk
  • May 2017 - August 2017

  • Student Developer Intern

  • Google Summer of Code
  • May 2016 - August 2016

  • Application developer Intern

  • Mphasis
  • January 2015 - May 2015

Professional Work


  • Program Committee Member

  • IEEE CLOUD, 2024

  • Program Committee Member

  • IEEE International Parallel & Distributed Processing Symposium(IPDPS), 2023

  • Program Committee Member

  • IEEE CLOUD, 2023

  • Sub Reviewer

  • IEEE CLOUD, March 2018

  • Sub Reviewer

  • IEEE/ACM International Conference on Utility and Cloud Computing, September 2017

  • Sub Reviewer

  • IEEE International Parallel & Distributed Processing Symposium, November 2016

Publications

  • Exploring Potential for Non-Disruptive Vertical Auto Scaling and Resource Estimation in Kubernetes

  • Gourav Rattihalli, Madhusudhan Govindaraju, Hui Lu, Devesh Tiwari
  • Published in proceedings of the 10th IEEE International Conference on Cloud Computing (CLOUD), 2019
  • Towards Enabling Dynamic Resource Estimation and Correction for Improving Utilization in an Apache Mesos Cloud Environment

  • Gourav Rattihalli, Madhusudhan Govindaraju, Devesh Tiwari
  • Published in proceedings of the 19th IEEE/ACM International Symposium on Cluster and Grid Computing (CCGrid 2019)
  • Exploring Potential for Resource Request Right-sizing via Estimation and Container Migration in Apache Mesos

  • Gourav Rattihalli
  • Published in proceedings of the 11th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2018), December 17th - 20th, 2018
  • Two stage cluster for resource optimization with Apache Mesos

  • Gourav Rattihalli, Pankaj Saha, Madhusudhan Govindaraju, Devesh Tiwari
  • Accepted for publication at MTAGS17: 10th Workshop on Many-Task Computing on Clouds, Grids, and Supercomputers, held in conjunction with SC17.
  • Exploring the Design Space for Optimizations with Apache Aurora and Mesos

  • Renan DelValle, Gourav Rattihalli, Angel Beltre, Madhusudhan Govindaraju, Michael Lewis
  • Published in proceedings of the IEEE International Conference on Cloud Computing (CLOUD), Applications Track, 2016
  • PDF    IEEE