Brian Setz

Wissenschaftlicher Mitarbeiter
Institut für Architektur von Anwendungssystemen
Service Computing
[Foto: Brian Setz]


+49 711 685-88460

Visitenkarte (VCF)

Universitätsstraße 38
70569 Stuttgart
Raum: 0.353


Nach Vereinbarung


Cloud Computing, Green Computing, Internet of Things, Energy Efficient Data Centers

  1. inproceedings

    1. M. Kalksma, B. Setz, A. R. Pratama, I. Georgievski, and M. Aiello, “Mining Sequential Patterns for Appliance Usage Prediction.,” in SMARTGREENS, 2018, pp. 23–33.
    2. B. Setz, F. Nizamic, A. Lazovik, and M. Aiello, “Power Management of Personal Computers based on User Behaviour.,” in SMARTGREENS, 2016, pp. 409–416.
  2. article

    1. V. D. Reddy, B. Setz, G. S. V. R. K. Rao, G. R. Gangadharan, and M. Aiello, “Best Practices for Sustainable Datacenters.,” IT Professional, vol. 20, no. 5, pp. 57–67, 2018.
    2. V. D. Reddy, B. Setz, G. S. V. R. K. Rao, G. R. Gangadharan, and M. Aiello, “Metrics for Sustainable Data Centers.,” T-SUSC, vol. 2, no. 3, pp. 290–303, 2017.
    3. I. Georgievski, T. A. Nguyen, F. Nizamic, B. Setz, A. Lazovik, and M. Aiello, “Planning meets activity recognition: Service coordination for intelligent buildings.,” Pervasive and Mobile Computing, vol. 38, pp. 110–139, 2017.

Sommersemester 2019

Wintersemester 2018/2019

Brian Setz is a Research Assistant and PhD candidate at the Institute of Architecture of Application Systems (IAAS) of the University of Stuttgart. He is supervised by prof. dr. Marco Aiello, and is a member of the Service Computing department, headed by prof. dr. Marco Aiello. His research interests include: Cloud Computing, Green Computing, Internet of Things, Energy Efficient Data Centers.


In today’s data-centric world, people expect the right data to be available everywhere, anytime, cheaply, in growing quantities and ‘processed-right’. Increasing data storage, processing and continuity requires a globally growing and more efficient data-center management to lower the environmental footprint.

The ‘business-as-usual’ trajectory could see data-center greenhouse gases double by 2020 from a 0.28% share of total global carbon emissions in 2007. In some cases, the total energy costs in a data-center can exceed the initial capital investment cost. While, the ICT industry represents a 2% share of the global carbon emissions.

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’.

  • Reviewer für BigData2018
  • Reviewer für SOCA2018
  • Reviewer für WISE2018
  • Reviewer für UIC2018
  • Reviewer für AICCSA2018
  • Reviewer für SMC2018
  • Reviewer für BPM2018
  • Reviewer für Cloud2018
  • Reviewer für ICIMSA2018
  • Reviewer für SoSE2018
  • Reviewer für SC@RUG2018
  • Reviewer für ALLDATA2018
  • Reviewer für IC2IT2018
  • Reviewer für ENASE2018
  • Reviewer für ICSE2018-SEIS
  • Reviewer für SOCA2017
  • Reviewer für ESOCC2017
  • Reviewer für AICCSA2017
  • Reviewer für SC@RUG2017
  • Reviewer für ICWS2017
  • Reviewer für IC2IT2017
  • Reviewer für DaMNet2016
  • Reviewer für COOPIS2016
  • Reviewer für WISE2016
  • Reviewer für SASO2016
  • Reviewer für MobiSPC-2016
  • Reviewer für SC@RUG2016
  • Reviewer für ICWS2016
  • Reviewer für ClouchTech’16
  • Reviewer für PAS2015


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