Emerging network sciences (interdisciplinary science of networks of networks) aim at discovering/identifying, formalizing/representing and analyzing common processes and phenomena underlying physical, chemical, biological, communication, social and cognitive networks. The fundamental objective of this emerging interdisciplinary field is to propose predictive models of these processes and phenomena in these networks that are characterized as adaptive, interdependent, unpredictable, nonlinear, and dynamic. From this perspective, a fundamental question arises as how interdependent network systems can be designed to support unpredictable disturbance and unexpected changes when vulnerable to natural disasters, (un)voluntary disruptions, malfunctions, and changes in its usage patterns due to socio-economic or technological changes. The latter changes could also impact operations for system maintenance as operators running an infrastructure might operate differently than system design assumes. For this purpose, a better understanding of the aforementioned properties characterizing interdependent networks requires to first capture the fundamental interplay between sustainability, resilience and robustness.
Technical networks exhibit many inter-dependencies which are complex to measure and model but also lead to multi-objective decision problems where uncertainty becomes the transversal notion to capture. To this end, understanding the fundamental interplay between sustainability, resilience, and robustness becomes essential in order to rejuvenate and/or improve current design and evaluation methods that are currently unable to cope with this fundamental dimension.
Authors are invited to submit papers that describe state-of-the-art research, present work-in-progress, or suggest open problems covering one or more of the topics of interest to the workshop:
- Case studies about natural disasters, (un)voluntary disruptions, malfunctions, failures, etc. in (inter-dependent) network infrastructure: what happened and what lead to the situation?
- Life cycle (data) analysis for inter-dependent networks: life stat. distributions, parametric and non-parametric methods, life data classification, competing failure modes analysis
- Quantifying and evaluating the sustainability of (inter-dependent) networks
- Robust optimization of large-scale (inter-dependent) networks
- Robust decision methods for resilient (inter-dependent) networks
- Robust, adaptive and stochastic optimal control for sustainable network systems design
- Extend robustness analysis towards a rigorous approach to resiliency analysis by e.g. capturing and representing system dynamics at multiple time scale, multi-scale models and cross-interactions
- Energy-aware resilience
- Game theoretic and economic aspects of sustainability-vs-resilience trade-offs
- Predictive simulation and uncertainty quantification
We invite submissions (via EDAS
) of original contributions of 4-8 pages, formatted in LaTeX according to the ENDM template
Review and Notification:
The submissions will be evaluated by the workshop program committee and a selection of papers will be admitted for presentation at the workshop.
- Dimitri Papadimitriou, Alcatel-Lucent Bell Labs, BE
- Bart Lannoo, iMinds, University of Ghent, BE
- Heiko Niedermayer, TU Munich, DE
120 EUR (it also covers the Gala Dinner of RNDM 2014
on Nov. 18, 2014).