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Towards Visualisation of Resilience Assessment for Large-Scale Systems

Elena Troubitsyna, Linas Laibinis, Towards Visualisation of Resilience Assessment for Large-Scale Systems. In: Yongxin Zhu, Tarek El-Ghazawi, Meikang Qiu, Sun-Yuan Kung, Jack Dongarra (Eds.), 17th IEEE International Conference on High Performance Computing and Communications, HPCC 2015, 7th IEEE International Symposium on Cyberspace Safety and Security, CSS 2015, and 12th IEEE International Conference on Embedded Software and Systems, ICESS 2015, 924, IEEE, 2015.

http://dx.doi.org/10.1109/HPCC-CSS-ICESS.2015.229

Abstract:

Ensuring resilience of large-scale systems is a challenging engineering task. It can be greatly facilitated if the analysis of various system characteristics is performed at yearly design stages. Such an analysis helps the designers to assess various architectural alternatives with respect to such parameters as performance, reliability and cost. However, to facilitate experimentation with the created simulation models, it is desirable to visualise them. A visual graphical notation also facilitates model validation and discussion with different engineering teams. In this paper, we outline our approach to creating a graphical notation for simulation models used for analysis of performance and reliability. The initial validation of the proposed approach has demonstrated good potentials.

BibTeX entry:

@INPROCEEDINGS{inpTrLa15a,
  title = {Towards Visualisation of Resilience Assessment for Large-Scale Systems},
  booktitle = {17th IEEE International Conference on High Performance Computing  and Communications, HPCC 2015, 7th IEEE International Symposium on Cyberspace Safety and Security, CSS 2015, and 12th IEEE International Conference on Embedded Software and Systems, ICESS 2015},
  author = {Troubitsyna, Elena and Laibinis, Linas},
  editor = {Zhu, Yongxin and El-Ghazawi, Tarek and Qiu, Meikang and Kung, Sun-Yuan and Dongarra, Jack},
  publisher = {IEEE},
  pages = {924},
  year = {2015},
}

Belongs to TUCS Research Unit(s): Embedded Systems Laboratory (ESLAB)

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