A Microservice Architecture for the Industrial Internet-Of-Things

Dobaj, Jürgen; Iber, Johannes; Krisper, Michael; Kreiner, Christian

doi:10.1145/3282308.3282320

Cited by 27 publications

(23 citation statements)

References 16 publications

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“…The MuTraff framework is based on open-source platforms in a modular style based on micro-services [ 60 , 61 ] enabling integration to third party tools. All the components run under light-weight docker containers using Linux [ 62 , 63 , 64 ], which allows platform agnostic deployments and on-premise or cloud deployments.…”

Section: Mutraff Architecturementioning

confidence: 99%

RETRACTED: MuTraff: A Smart-City Multi-Map Traffic Routing Framework

Paricio

López-Carmona

2019

Sensors

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Urban traffic routing is deemed to be a significant challenge in intelligent transportation systems. Existing implementations suffer from several intrinsic issues such as scalability in centralized systems, unnecessary complexity of mechanisms and communication in distributed systems, and lack of privacy. These imply force intensive computational tasks in the traffic control center, continuous communication in real-time with involved stakeholders which require drivers to reveal their location, origin, and destination of their trips. In this paper we present an innovative urban traffic routing framework and reference architecture (multimap traffic control architecture, MuTraff), which is based on the strategical generation and distribution of a set of traffic network maps (traffic weighted multimaps, TWM) to vehicle categories or fleets. Each map in a TWM map set has the same topology but a different distribution of link weights, which are computed by considering policies and constraints that may apply to different vehicle groups. MuTraff delivers a traffic management system (TMS), where a traffic control center generates and distributes maps, while routing computation is performed at the vehicles. We show how this balance between generation, distribution, and routing computation improves scalability, eases communication complexities, and solves former privacy issues. Our study presents case studies in a real city environment for (a) global congestion management using random maps; (b) congestion control on road incidents; and c) emergency fleets routing. We show that MuTraff is a promising foundation framework that is easy to deploy, and is compatible with other existing TMS frameworks.

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Section: Mutraff Architecturementioning

confidence: 99%

RETRACTED: MuTraff: A Smart-City Multi-Map Traffic Routing Framework

Paricio

López-Carmona

2019

Sensors

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“…In the industrial automation market, the Internet of ings (IoT) and cyberphysical system (CPS) principles have been introduced. Due to tighter dependability and real-time constraints, the IoT concept cannot be completely adopted in IIoT environments [21]. A detection model based on a fully connected neural network and a stacked Variational Autoencoder (VAE) was proposed which can learn the latent structure of device activities and reveal ransomware actions [22].…”

Section: Related Workmentioning

confidence: 99%

Determining the Degree of Characteristics for Internet of Healthcare Devices Using Fuzzy ANP

Lin

2021

Scientific Programming

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With the revolution in Internet and digital technology, every organization is adopting digital things to carry out their day-to-day activities. Internet of Things (IoT) is a concept that is used to connect various devices over the Internet to increase the production and quality of service, deliver a huge amount of data in seconds, and automate the processes. IoT implementation in the health sector has changed the typical setup into smart and intelligent setup. With the “smart” and “Intelligent” abilities of IoT devices such as sensors and with the collaboration of humans and computers, physical processes can be monitored and, based on the received data, optimal decisions can ultimately be taken. IoT applications in healthcare will increase flexibility, patient’s care, quality of health, and control of diseases. As the IoT combines various heterogeneous devices and the inappropriate determination of the degree of characteristics for Internet of healthcare (IoH) devices may affect the efficiency of services, this research is carried out with the use of decision support system and application of fuzzy analytic network process (fuzzy ANP) was used for optimal determination of the degree of characteristics for IoH devices based on unique properties which would greatly increase the efficiency of industry. The experimental results are efficient and show the usefulness of the approach.

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“…al. also proposed a lightweight Microservice-based architecture for the Industrial IoT [16]. The Microservice design pattern provides better flexible deployment from industrial clouds and continuous integration through all levels including cloud, fog, and edge devices.…”

Section: A Service-oriented Architecture and Microservices Related Pmentioning

confidence: 99%

Semantic Integration of Plug-and-Play Software Components for Industrial Edges Based on Microservices

et al. 2019

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The industrial cyber-physical system enables collaboration between distributed nodes across industrial clouds and edge devices. Flexibility and interoperability could be enhanced significantly by introducing the service-oriented architecture to industrial edge devices. From the industrial edge computing perspective, software components shall be dynamically composed across heterogeneous edge devices to perform various functionalities. In this paper, a knowledge-driven Microservice-based architecture to enable plug-and-play software components is proposed for industrial edges. These software components can be dynamically configured based on the orchestration of microservices with the support of the knowledge base and the reasoning process. These semantically enhanced plug-and-play microservices could provide rapid online reconfiguration without any programming efforts. The use of the plug-and-play software components is demonstrated by an assembly line example. INDEX TERMS Service-oriented architecture, industrial automation, IEC 61499 function blocks, plug and play, microservices, interoperability, REST API, SQWRL, OWL.

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A Microservice Architecture for the Industrial Internet-Of-Things

Cited by 27 publications

References 16 publications

RETRACTED: MuTraff: A Smart-City Multi-Map Traffic Routing Framework

RETRACTED: MuTraff: A Smart-City Multi-Map Traffic Routing Framework

Determining the Degree of Characteristics for Internet of Healthcare Devices Using Fuzzy ANP

Semantic Integration of Plug-and-Play Software Components for Industrial Edges Based on Microservices

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