Ke-Jou (Carol) Hsu has worked in computer systems for years. Her research began with HPC and virtualization at National Tsing Hua University (advised by Jerry Chou), focusing on deploying and running HPC workloads in the cloud. Later, as an engineer in the industry, she worked on public cloud service backends, specializing in Linux containers, microservices, and Kubernetes.

She recently completed her PhD at Georgia Institute of Technology (advised by Ada Gavrilovska), expanding her system studies into edge computing on 5G networks. Her work explores efficient, fast, and observable system support for edge workloads.

Anecdote🤓 – My mandarin name Ke-Jou (克柔) sounds like Carol, a name given by my first English teacher. I use it in tech and with foreign friends for simplicity.

Publication

Colibri: Efficient Collection of Fine-Grained Resource Metrics Necessary for Mobile Edge Computing, Ke-Jou Hsu, Ketan Bhardwaj, Ada Gavrilovska, The Ninth ACM/IEEE Symposium on Edge Computing (SEC'24)

ShapeShifter: Resolving the Hidden Latency Contention Problem in MEC, Valentin Rakovic, Ke-Jou Hsu, Ketan Bhardwaj, Ada Gavrilovska, Liljana Gavrilovska, The Seventh ACM/IEEE Symposium on Edge Computing (SEC'22)

Performance Benchmarking and Auto-tuning for Scientific Applications on Virtual Cluster, Ke-Jou Hsu, Jerry Chi-Yuan Chou, The Journal of Supercomputing 2021, Springer

DNS Does Not Suffice for MEC-CDN, Ke-Jou Hsu, James Choncholas, Ketan Bhardwaj, Ada Gavrilovska, The Nineteenth ACM Workshop on Hot Topics in Networks (HotNet'20)

Couper: DNN Model Slicing for Visual Analytics Containers at the Edge, Ke-Jou Hsu, Ketan Bhardwaj, Ada Gavrilovska, The Fourth ACM/IEEE Symposium on Edge Computing (SEC'19)

Kubernetes Cookbook - 2nd edition, Hideto Saito, Hui-Chuan Chloe Lee, Ke-Jou Carol Hsu, Packt Publishing 05/2018 (The same team published 1st edition at 06/2015)

Parallel I/O, Analysis, and Visualization of a Trillion Particle Simulation, Surendra Byna, J. Chou, O. Rübel, Prabhat, H. Karimabadi, W. S. Daughton, V. Roytershteyn, E. W. Bethel, M. Howison, K.-J. Hsu, K.-W. Lin, A. Shoshani, A. Uselton, and K. Wu, The Supercomputing Conference 2012 (SC'12) [paper access]

Selected Presentation

Fine-grained, lightweight resource metric collection in Mobile Edge Computing – Alumni Seminar, NTHU (09/2023)

MEC-in-a-Box – Demo, Application Driven Architecture (ADA) Center Annual Symposium, SRC (05/2020)

Work Experience

Ph.D. Research Intern @ CTO Office, Dell Technologies Solutions, VMware, USA
05/2021 - 08/2021

  • Built Open vRAN with Tanzu Kubernetes Grid (TKG)
  • Deployed Magma in vSphere and analyzed network policies to support edge applications

Ph.D. Research Intern @ CTO Office, Juniper Networks, USA
06/2020 - 08/2020

  • Investigated network visibility in Kubernetes and developed a traffic-aware scheduler
  • Enhanced support for networking-critical applications by incorporating container network bandwidth into Kubernetes scheduling using Prometheus monitoring and API calls

DevOps and Backend Engineer @ Tomofun Inc., Taiwan
02/2017 - 07/2017

  • Designed and developed and built up microservice backend system on AWS for an IoT product
  • Created next-generation backend system for home cameras and mobile clients, running on AWS ECS and integrating with various internal (e.g. Route53 and DynamoDB) and external services (e.g. Mailchimp)

Engineer @ R&D Team, Data Center Service Group, Trend Micro Inc., Taiwan
09/2014 - 09/2016

  • Developed backend systems for datacenter management services using Python and Java
  • Designed and deployed scalable and fault-tolerant systems on AWS using CloudFormation and OpsWorks
  • Deployed CI/CD end-to-end systems (e.g. Jenkins and Github) and designed workflows for hybrid cloud environments

Research Assistant @ Networking and Multimedia System Lab, National Tsing Hua University, Taiwan
07/2014 - 08/2014

  • Research topic: Distribution of News Videos to Mobile Devices over Challenged Networks
  • Developed a parallel program to transform static GPS datasets into interactive particles for simulation

Student Intern @ Lawrence Berkeley National Laboratory, USA
07/2012 - 09/2012

  • Research topic: The Virtual Object Layer in Scientific Data Service
  • Developed parallel programs for transposing dimensions of HDF5 files to improve I/O speed