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Today's safety-critical aeronautical networks use two networks concurrently for redundancy. Furthermore, the most critical applications have additional hard-wired end-to-end links for resilience. However, with such networks increasingly being connected to the Internet for added functionality they face risks that cannot be mitigated thus. Consequently, mechanisms permitting network reconfiguration during runtime such as software-defined networking (SDN) receive interest, even though they have not been designed for safety-critical systems. To ensure that safety is maintained at all times, further mechanisms are required. Hence, this paper proposes a novel approach dynamic network reconfiguration (DRN). Using pre-calculated configuration templates obtained using linear optimisation, one of two concurrently served node-and link disjoint paths can safely be reconfigured using SDN processes. To validate the DNR solution, a sample avionics network has been build in Mininet and failures randomly triggered. Experimental results show that using the DRN solution allows to mitigate up to 14 successive failures without loosing safety-critical traffic. Consequently, our solution not only provides more resilience against failures than current solutions, but can also be used to mitigate the effects of network attacks.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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