Improving lifecycle query in integrated toolchains using linked data and MQTT-based data warehousing
March 09, 2018 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Andrii Berezovskyi, Jad El-khoury, Omar Kacimi, FrΓ©dΓ©ric Loiret
arXiv ID
1803.03525
Category
cs.SE: Software Engineering
Cross-listed
cs.MA,
cs.NI
Citations
1
Venue
arXiv.org
Last Checked
5 months ago
Abstract
The development of increasingly complex IoT systems requires large engineering environments. These environments generally consist of tools from different vendors and are not necessarily integrated well with each other. In order to automate various analyses, queries across resources from multiple tools have to be executed in parallel to the engineering activities. In this paper, we identify the necessary requirements on such a query capability and evaluate different architectures according to these requirements. We propose an improved lifecycle query architecture, which builds upon the existing Tracked Resource Set (TRS) protocol, and complements it with the MQTT messaging protocol in order to allow the data in the warehouse to be kept updated in real-time. As part of the case study focusing on the development of an IoT automated warehouse, this architecture was implemented for a toolchain integrated using RESTful microservices and linked data.
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