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Improving lifecycle query in integrated toolchains using linked data and MQTT-based data warehousing
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.ORCID iD: 0000-0001-8429-0479
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.ORCID iD: 0000-0002-0889-5190
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.ORCID iD: 0000-0002-7842-1599
2017 (English)Conference paper, Published paper (Refereed)
Abstract [en]

  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. 

Place, publisher, year, edition, pages
LInz, Austria, 2017.
National Category
Computer Systems
Research subject
Information and Communication Technology
Identifiers
URN: urn:nbn:se:kth:diva-250330OAI: oai:DiVA.org:kth-250330DiVA, id: diva2:1307884
Conference
The 7th International Conference on the Internet of Things (IoT 2017)
Note

QC 20190430

Available from: 2019-04-29 Created: 2019-04-29 Last updated: 2019-04-30Bibliographically approved

Open Access in DiVA

fulltext(1336 kB)21 downloads
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File name FULLTEXT01.pdfFile size 1336 kBChecksum SHA-512
abe5550e9a2695d0ee57a618b11176a32fc29307af35095eedf4c15f34f22e6788b551c205b1c629a446f5a6290ba97ee871c7d76536e9fac1f171f6b3ebf63c
Type fulltextMimetype application/pdf

Other links

arXiv:1803.03525

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CiteExportLink to record
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