English

Optimally Self-Healing IoT Choreographies

Networking and Internet Architecture 2019-07-11 v1

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.

Keywords

Cite

@article{arxiv.1907.04611,
  title  = {Optimally Self-Healing IoT Choreographies},
  author = {Jan Seeger and Arne Bröring and Georg Carle},
  journal= {arXiv preprint arXiv:1907.04611},
  year   = {2019}
}

Comments

18 pages, submitted to ACM TOIT special issue "Evolution of IoT Networking Architectures"

R2 v1 2026-06-23T10:17:16.474Z