Distributing reasoning on WoT edge architectures
Abstract
Enabling and automating interoperability in the Semantic Web of Things involves complex semantic reasoning tools to process knowledge graphs. To improve performance and energy efficiency, such tools should be deployed as close as possible to the devices, ideally on any available edge node.
However, edge nodes often lack sufficient resources, especially memory. We propose a method to distribute reasoning in this context. We then evaluate three algorithms to plan the distribution over a network of heterogeneous nodes. These algorithms take into account architectural constraints such as the position of
sensors and actuators and the available resources on each node, while minimizing costly data exchanges on the network.
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