M.Sc.

Brian Setz

Research Assistant and Ph.D. Student
Institute of Architecture of Application System
Service Computing
[Photo: Brian Setz]

Contact

+49 711 685-88460
Website
Business card (VCF)

Universitätsstraße 38
 70569 Stuttgart
Germany
Room: 0.353

Office Hours

By arrangement via e-mail

Subject

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.

Summer Semester 2019

Winter Semester 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.

NextGenSmartDC

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