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• W2956169510 abstract "In the industrial Internet of Things domain, applications are moving from the Cloud into the edge, closer to the devices producing and consuming data. This means applications move from the scalable and homogeneous cloud environment into a constrained heterogeneous edge network. Making edge applications reliable enough to fulfill Industrie 4.0 use cases is still an open research challenge. Maintaining operation of an edge system requires advanced management techniques to mitigate the failure of devices. This paper tackles this challenge with a twofold approach: (1) a policy-enabled failure detector that enables adaptable failure detection and (2) an allocation component for the efficient selection of failure mitigation actions. We evaluate the parameters and performance of our failure detection approach and the performance of an energy-efficient allocation technique, and present a vision for a complete system as well as an example use case." @default.
• W2956169510 created "2019-07-23" @default.
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• W2956169510 date "2019-07-10" @default.
• W2956169510 modified "2023-09-27" @default.
• W2956169510 title "Optimally Self-Healing IoT Choreographies" @default.
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• W2956169510 hasPublicationYear "2019" @default.
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