Scheuner

Chalmers profile

Email: scheuner@chalmers.se
Github: 
https://github.com/joe4dev
Twitter: @joe4dev
Scholar: 
Joel Scheuner 

 

Short Bio

Since mid-October 2017, I am a WASP PhD student in the Internet Computing and Emerging Technologies Lab (ICET-lab) at Chalmers and University of Gothenburg in Sweden. I received my MSc and BSc in Software Systems from the University of Zurich where I was part of the Software Evolution and Architecture Lab (seal) research group during my master studies.

 

Research Interests

My current research focuses on methods and mechanisms to proactively manage the quality of cloud applications, in particular regarding software performance and deployment costs. In my previous research, I empirically studied performance variations in cloud environments through cloud benchmarking using synthetic micro-benchmarks and real-world application-benchmarks. I am best known for my work with Cloud WorkBench, a cloud benchmarking toolkit to automatically provision and execute performance benchmarks in cloud environments, which originates from my honored bachelor thesis.

 

Publications

see Google Scholar: Joel Scheuner

 

Teaching

Courses
  • [Spring 2019] DIT032 – Data Management, Chalmers | University of Gothenburg
  • [Fall 2018] DIT341 – Web and Mobile Development, Chalmers | University of Gothenburg
  • [Spring 2018] DIT032 – Data Management, Chalmers | University of Gothenburg
  • [Spring 2016] Software Engineering Lab “SoPra” (Teaching Assistant), University of Zurich, Software Evolution and Architecture Lab (seal)
  • [Spring 2015] Software Engineering Lab “SoPra” (Teaching Assistant), University of Zurich, Software Evolution and Architecture Lab (seal)
  • [Fall 2014] Informatics I – Introduction to Programming (Teaching Assistant), University of Zurich, Software Evolution and Architecture Lab (seal)
  • [Spring 2012] Informatics IIa – Modeling (Tutor), University of Zurich, Requirements Engineering Research Group (rerg)
Students (supervision)
  • [Spring 2018] Bachelor Thesis “AWS Lambda Language Performance” by Mehrshad Hosseini, Omid Sahragard