Questionnaire for User Habits of Compute Clusters (QUHCC)

  • Johanna Renker
  • Stephan Schlagkamp
  • Gerhard Rinkenauer
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 529)


There is an increased interest to improve existing schedulers of compute clusters. Trace data are used to analyze the performance of compute clusters and to develop improved algorithms, but the interaction of the user and the compute cluster is not considered yet. Therefore, the current study investigates user behavior and satisfaction with regard to compute clusters. The resulting data are used to model users and to run a scheduler simulation with these modeled users. A new questionnaire for User Habits of Compute Clusters (QUHCC) with 7 scales and 53 questions was developed for this purpose. Results indicate that there is considerable potential to improve the performance of computer systems, viz. users satisfaction is limited, because different kinds of user strategies are necessary to improve the performance of the system. Future work includes the further validation and improvement of the questionnaire.


Questionnaire High performance computing User strategies User satisfaction 



We thank the administrators of the compute clusters at TU Dortmund University and all participants for their support.


  1. 1.
    Feitelson, D.G.: Workload Modeling for Computer System Performance Evaluation. Cambridge University Press (in press)Google Scholar
  2. 2.
    Fischer, G.: User modeling in humancomputer interaction. User Model. User Adap. Inter. 11(1–2), 65–86 (2001)CrossRefzbMATHGoogle Scholar
  3. 3.
    Chin, J.P., Diehl, V.A., Norman, K.L.: Development of an instrument measuring user satisfaction of the human-computer interface. In: Proceedings of SIGCHI, pp. 213–218 (1988)Google Scholar
  4. 4.
    Kirakowski, J., Corbett, M.: Sumi: the software usability measurement inventory. Br. J. Educ. Technol. 24, 210–212 (1993)CrossRefGoogle Scholar
  5. 5.
    Laugwitz, B., Held, T., Schrepp, M.: Construction and Evaluation of a User Experience Questionnaire. Springer, Berlin Heidelberg (2008)CrossRefGoogle Scholar
  6. 6.
    Rabiee, F.: Focus-group interview and data analysis. Proc. Nutr. Soc. 63, 655–660 (2004)CrossRefzbMATHGoogle Scholar
  7. 7.
    Rammstedt, B., John, O.P.: Measuring personality in one minute or less: a 10-item short version of the big five inventory in english and german. J. Res. Pers. 41, 203–212 (2007)CrossRefGoogle Scholar
  8. 8.
    Schlagkamp, S., Renker, J.: Acceptance of waiting times in high performance computing. In: HCI International 2015 - Posters’ Extended Abstracts. Springer, Berlin Heidelberg (in press)Google Scholar
  9. 9.
    O’Donnell, P., Draper, S.W.: How machine delays change user strategies. SIGCHI Bull. 28(2), 39–42 (1996)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Johanna Renker
    • 1
  • Stephan Schlagkamp
    • 2
  • Gerhard Rinkenauer
    • 1
  1. 1.Leibniz Research Centre for Working Environment and Human FactorsDortmundGermany
  2. 2.Robotics Research InstituteTU Dortmund UniversityDortmundGermany

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