Yuma Kokubo
ABSTRACT
Fog computing has attracted growing attention as a distributed computing platform for real-world problems, and semantic web technologies, including RDF (resource description framework), have been used as key enablers for semantic data processing. RDF reasoning allows us to perform high-level reasoning about real-world entities, but RDF reasoning in a distributed environment is still challenging because of the changing nature of the real world, leading to unbalanced loads among fog nodes and cloud servers. Existing distributed reasoning methods in fog computing cannot cope with such dynamism. This work proposes a dynamic load-balancing method for RDF reasoning in fog environments. Specifically, we devise a cost model of RDF reasoning considering the processing and network loads, thereby enabling balancing the load between fog nodes. We conduct a set of experiments to demonstrate the performance of the method.
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Index Terms
- Cost-based Load Balancing of RDF Reasoning in Fog-Computing Environments
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