About
Brian Setz is the lead of the Digital Lab, an initiative of the Computing Science department of the University of Groningen to innovate education. He holds a PhD in Computing Science from the University of Stuttgart, and a masters degree in Computing Science from the University of Groningen. His research interests include: Cloud Computing, Green Computing, Internet of Things, Energy Efficient Data Centers.
Office 5161.0492
Address
Nijenborgh 9
9747 AG Groningen
Netherlands
Publications
(url) “A guidebook for sustainability in laboratories”
T. Freese, R. Kat, S. D. Lanooij, T. C. Böllersen, C. M. De Roo, N. Elzinga, M. Beatty, B. Setz, R. R. Weber, I. Malta, T. B. Gandek, A. Krikken, P. Fodran, R. Pollice, M. M. Lerch
In ChemRxiv, 2024
(url) “Enough Hot Air: The Role of Immersion Cooling”
K. Haghshenas, B. Setz, Y. Bloch, M. Aiello
In Energy Informatics, 2023
(url) “Energy Smart Buildings: Parallel Uniform Cost-Search with Energy Storage and Generation”
B.setz, K. Haghshenas, M. Aiello
In arXiv, 2022
(url) “CO2 Emission Aware Scheduling for Deep Neural Network Training Workloads”
K. Haghshenas, B. Setz, Y. Bloch, M. Aiello
In IEEE International Conference on Big Data, 2022
(url) “A Comparison of Open-Source Home Automation Systems”
B. Setz, S. Graef, D. Ivanova, A. Tiessen, M. Aiello
In IEEE Access, 2021
(url) “Towards Real-Time Monitoring of Data Centers using Edge Computing”
B.setz, M. Aiello
In European Conference On Service-Oriented And Cloud Computing, 2020
(url) “A Data-Driven Approach to Monitoring Colocation Data Centers”
B. Setz, A. Lazovik, M. Aiello
In IEEE International Conference on Big Data Intelligence and Computing, 2019
(url) “Mining Sequential Patterns for Appliance Usage Prediction”
M. Kalksma, B. Setz, A. Rizky Pratama, I. Georgievski and M. Aiello
In International Conference on Smart Cities and Green ICT Systems, 2018
(url) “Best Practices for Sustainable Data Centers”
V. Dinesh Reddy, B. Setz, G. Subrahmanya V.R.K. Rao, G.R. Gangadharan, M. Aiello
In IEEE IT Professional, 2018
(url) “Planning meets activity recognition: Service coordination for intelligent buildings”
I. Georgievski, T. A. Nguyen, F. Nizamic, B. Setz, A. Lazovik and M. Aiello
In Pervasive and Mobile Computing, 2017
(url) “Metrics for Sustainable Data Centers”
V. Dinesh Reddy, B. Setz, G. Subrahmanya V.R.K. Rao, G.R. Gangadharan, M. Aiello
In IEEE Transactions on Sustainable Computing, 2017
(url) “Power Management of Personal Computers based on User Behaviour”
B. Setz, F. Nizamic, A. Lazovik and M. Aiello
In International Conference on Smart Cities and Green ICT Systems, 2016
(pdf) “Sleepy, the Smart Activity Monitoring and Energy Saving Solution for Personal Computers”
B. Setz, F. Nizamic, T. A. Nguyen, A. Lazovik, M. Aiello
In Proceedings of the Erasmus Energy Forum 2014, Rotterdam, The Netherlands. 2014
Projects
(url) NextGenSmart DC
The NextGenSmart DC project’s premise is that the application of state-of-the-art ICT tools and techniques can improve the environmental footprint of energy-intensive facilities and deliver Smarter and Greener Data-Centers, through ‘self-help’.
(pdf) SENSible hEating Operation Solutions
Computer-based control of the heating system of buildings that have still manual control of radiators. The solution optimizes the heating of rooms based on fusion of information regarding users presence, external weather conditions, weather forecast, and university/user calendars. The goal is to control the room heating automatically and heat only when users are present, thus, optimizing the temperature given the weather exposition and the actual number of occupants present in the room.
(url) Sustainable Buildings
Our first Proof-of-Concept project is “The Bernoulliborg – The building of Sustainability”. In this project, we apply our first smart energy solutions to an existing building to make it even more energy-efficient and that way to generate significant additional savings!
(pdf) Green Mind Award
An extremely comprehensive project with advantages such as water conservation, responsible waste recycling, smart reduction in electricity consumption and intelligent lighting.
Supervision
“Estimating Container-level Power Usage in Kubernetes”
B. Pijnacker
Master Thesis, 2024
“Estimating Energy Consumption of Cloud-Native Applications”
L. Andringa
Master Thesis, 2024
“Docker Kotlin”
R. Sterzing, J. Lazarini, A. Khanchi, T. Kuntkes
Software Engineering Project, 2024
“Exploring the effects of Location and Time on the calculation of the Carbon Footprint of Computing”
K. Chasiotis
Honors Project + Bachelor Thesis, 2024
“Carbon Footprint Monitoring up to Container-Level in Virtualized Environments: A Hardware and Hypervisor-Free Approach”
T. Pol
Master Thesis, 2024
“Observability in an OpenStack cluster”
J. Lipka
Master Research Internship, 2024
“UI Composition in Microservices”
G. Calcedo
Master Research Internship, 2023
“An Analysis of Four Server Power Models”
F. S. Müller
Bachelor Thesis, 2022
“Determining Carbon Dioxide Footprint using Data Center Simulators”
M. Keppler
Bachelor Thesis, 2021
“Sensor Fusion”
R. A. Belmannu
Study Project, 2021
“Interactive Dashboard”
M. Suresh
Study Project, 2021
“Robot Operating System: Pi on Wheels”
N. Caycedo, S. Eitschberger, L. Grohmann, P. Längerer, S. Paule, S. Xie
Studienprojekt, 2021
“Dynamic Personalized Home Automation Rules based on Multi-User Feedback”
D. Ivanova
Master Thesis, 2021
“A Review of Modelling Approaches for Computer System Components”
M. Dullak, N. Margotti, S. Zindl
Fachstudien, 2021
“Analysis of Open-Source Home Automation Systems”
S. Graef, D. Ivanova, A. Tiessen
Prozessanalyse, 2020
“HaaS: Human as a Sensor”
P. Moscoso, D. Steinacker, S. Wonner, J. Zahrabi
Entwicklungsprojekt, 2020
“Internet of Things and Data Centers”
I. Fourati
Bachelor Thesis, 2020
“A Qualitative Analysis of Data Center Simulators”
C. Goller, M. Keppler, D. Krakowiak
Fachstudie, 2020
“Serverless Public Dashboards for Smart Environments”
M. Amann, J. Baireuther, S. Beck, S. Graef, M. Graf, T. Gutierrez, D. Ivanova, M. Kenzler, C. Zorn
Entwicklungsprojekt, 2019
“A Hardware Scale Model of a Data Centre”
Y. Tijsma
Master Thesis, 2019
“Data Center Simulator for Sustainable Data Centers”
E. Omar
Master Thesis, 2019
“Adaptive On-the-fly Changes in Distributed Data Processing Pipelines”
T. Albers
Master Thesis, 2018
“GitHub Data Analytics”
A. Ciobisca, A. Isac
Short Programming Project, 2017
“Host Health from a Containers’ Perspective”
A. Curganov
Master Research Internship, 2016
“Creating Automatic Data Aggregation and Deletion Systems for the Scalable Web”
G. Klinkenberg, Y. Tijsma
Master Research Internship, 2016
“Dynamic Modification of Distributed Data Analysis”
T. Albers
Master Research Internship, 2016
“Service Discovery”
W.G. Menninga
Master Research Internship, 2016
“Sleepy for Linux – Power Management Framework for Workstations”
T. Hoeksema, M. Medema
Bachelor Thesis, 2015
Teaching
University of Stuttgart
Research Assistant
– Origin and Evolution of the Web (SS2022, WS2021, SS2021, WS2020, SS2020, WS2019, SS2019, WS2018)
– Operating Systems (WS2022, WS2021, WS2020, WS2019, WS2018)
University of Groningen
Teaching Assistant
– Scalable Computing (SS2018, SS2017)
– Web and Cloud Computing (FS2017, FS2016, FS2015, FS2014)
– Introduction to Computing Science (FS2016)
Academic Activities
Reviewering
Reviewer for WESOACS2022, ICSOC2022, JCC2022, BPM2022, ICSOC2021, SmartGridComm’21, WISE2021, ICWS2021, Cloud2021, BPM2021, ICCCN2021, SIMPAT, WISE2020, Cloud2020, ICWS2020, ISGT2020, CloudTech’20, IJCAI-PRICAI2020, ICWS2020, SOCA2019, ICBK2019, COOPIS2019, WISE2019, WEBIST2019, ICWS2019, Cloud2019, SOSE2019, BigData2018, SOCA2018, WISE2018, UIC2018, AICCSA2018, SMC2018, BPM2018, Cloud2018, ICIMSA2018, SoSE2018, SC@RUG2018, ALLDATA2018, IC2IT2018, ENASE2018, ICSE2018-SEIS, SOCA2017, ESOCC2017, AICCSA2017, SC@RUG2017, ICWS2017, IC2IT2017, DaMNet2016, COOPIS2016, WISE2016, SASO2016, MobiSPC-2016, SC@RUG2016, ICWS2016, ClouchTech’16, PAS2015