Autonomous RDF stream processing for IoT edge devices

Nguyen-Duc, Manh (Open Distributed Systems, TU Berlin, Germany) ; Le-Tuan, Anh (Open Distributed Systems, TU Berlin, Germany ; Insight Centre for Data Analytics, NUI Galway, Ireland) ; Calbimonte, Jean-Paul (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Le-Phuoc, Danh (Open Distributed Systems, TU Berlin, Germany) ; Hauswirth, Manfred (Open Distributed Systems, TU Berlin, Germany ; Fraunhofer Institute for Open Communication Systems, Berlin, Germany)

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.


Keywords:
Conference Type:
published full paper
Faculty:
Economie et Services
School:
HEG-VS
Institute:
Institut Informatique de gestion
Subject(s):
Informatique
Publisher:
Hangzhou, China, 25-27 November 2020
Date:
2019-11
Hangzhou, China
25-27 November 2020
Pagination:
Pp. 304-319
Published in:
Proceedings of the 9th Joint International Semantic Technology Conference (JIST2019)
Series Statement:
Lecture notes in computer science, vol. 12032
DOI:
ISSN:
0302-9743
ISBN:
978-3-030-41406-1
External resources:
Appears in Collection:

Note: The status of this file is: restricted


 Record created 2020-12-01, last modified 2021-03-29

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