TY  - CONF
T1  - Autonomous RDF Stream Processing for IoT Edge Devices
A1  - Nguyen Duc, Manh
A1  - Tuan, Anh Le
A1  - Calbimonte, Jean-Paul
A1  - Hauswirth, Manfred
A1  - Phuoc, Danh Le
TI  - Proc. of the 9th Joint International Semantic Technology Conference JIST 2019
Y1  - 2019
SP  - 304
EP  - 319
PB  - Springer
CY  - Hangzhou, China
M2  - doi: https://doi.org/10.1007/978-3-030-41407-8_20
N2  - The wide adoption of increasingly cheap and computationally powerful single-board computers, has triggered the emergence of new paradigms for collaborative data processing among IoT devices. Motivated by the billions of ARM chips having been shipped as IoT gateways so far, our paper proposes a novel continuous federation approach that uses RDF Stream Processing (RSP) engines as autonomous processing agents. These agents can coordinate their resources to distribute processing pipelines by delegating partial workloads to their peers via subscribing continuous queries. Our empirical study in “cooperative sensing” scenarios with resourceful experiments on a cluster of Raspberry Pi nodes shows that the scalability can be significantly improved by adding more autonomous agents to a network of edge devices on demand. The findings open several new interesting follow-up research challenges in enabling semantic interoperability for the edge computing paradigm.
ER  -