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Running Distributed and Dynamic IoT Choreographies

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abstract

IoT systems are growing larger and larger and are becoming suitable for basic automation tasks. One of the features IoT automation systems can provide is dealing with a dynamic system -- Devices leaving and joining the system during operation. Additionally, IoT automation systems operate in a decentralized manner. Current commercial automation systems have difficulty providing these features. Integrating new devices into an automation system takes manual intervention. Additionally, automation systems also require central entities to orchestrate the operation of participants. With smarter sensors and actors, we can move control operations into software deployed on a decentralized network of devices, and provide support for dynamic systems. In this paper, we present a framework for automation systems that demonstrates these two properties (distributed and dynamic). We represent applications as semantically described data flows that are run decentrally on participating devices, and connected at runtime via rules. This allows integrating new devices into applications without manual interaction and removes central controllers from the equation. This approach provides similar features to current automation systems (central engineering, multiple instantiation of applications), but enables distributed and dynamic operation. We demonstrate satisfying performance of the system via a quantitative evaluation.

fields

cs.NI 1

years

2019 1

verdicts

UNVERDICTED 1

representative citing papers

Optimally Self-Healing IoT Choreographies

cs.NI · 2019-07-10 · unverdicted · novelty 4.0

Policy-based adaptable failure detection combined with energy-efficient allocation for mitigation actions in edge IoT choreographies.

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  • Optimally Self-Healing IoT Choreographies cs.NI · 2019-07-10 · unverdicted · none · ref 26 · internal anchor

    Policy-based adaptable failure detection combined with energy-efficient allocation for mitigation actions in edge IoT choreographies.