Dynamic Edge and Cloud Service Integration for Industrial IoT and Production Monitoring Applications of Industrial Cyber-Physical Systems

Hästbacka, David; Halme, Jari; Barna, Laurentiu; Hoikka, Henrikki; Pettinen, Henri; Larrañaga, Martin; Björkbom, Mikael; Mesia, Heikki; Jaatinen, Antti; Elo, Marko

doi:10.1109/tii.2021.3071509

Cited by 31 publications

(10 citation statements)

References 33 publications

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“…The authors of [14] deal with the integration of cloud-edge-IoT, but focusing on orchestration and configuration of application services and data flows for industrial cyberphysical systems. Its basis is the Arrowhead framework.…”

Section: Related Workmentioning

confidence: 99%

Enabling the Industrial Internet of Things to Cloud Continuum in a Real City Environment

Cabrini

Filho

Rito

et al. 2021

Sensors

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The Industrial Internet of Things (IIoT) is one of the most demanding IoT applications. The insertion of industries in the context of smart cities and other smart environments, allied with new communication technologies such as 5G, brings a new horizon of possibilities and new requirements. These requirements include low latency, the support of a massive quantity of devices and data, and the need to support horizontal communications between devices at the edge level. To make this feasible, it is necessary to establish an IIoT-to-cloud continuum distributing federated brokers across the infrastructure and providing scalability and interoperability. To attend this type of application, we present the Helix Multi-layered IoT platform and its operating modes. We report and discuss its real-world deployment in the Aveiro Tech City Living Lab in Aveiro, Portugal with functional and performance tests. We tested device-to-device communication across edge and core layers and also interconnected the infrastructure with one in São Paulo, Brazil, replicating the use of a global industry. The successful deployment validates the use of a Helix Multi-layered IoT platform as a suitable backend platform for IIoT applications capable of establishing the IIoT-to-cloud continuum. It also helps for the deployment of other applications in such a domain.

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Section: Related Workmentioning

confidence: 99%

Enabling the Industrial Internet of Things to Cloud Continuum in a Real City Environment

Cabrini

Filho

Rito

et al. 2021

Sensors

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“…The selection was supported by the fact that it is free and a product of open source collaboration, has an open model for integration, and allows customization [42]. Furthermore, AHF supports security, does not have platform restrictions, and is easily adoptable both on cloud and edge levels [19].…”

Section: Arrowhead Framework As An Enabler Of Interoperable Service Compositionmentioning

confidence: 99%

Service Orchestration for Object Detection on Edge and Cloud in Dependable Industrial Vehicles

Pettinen¹,

Hästbacka

2021

JMM

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Industrial applications, including autonomous systems and vehicles, rely on processing data on multiple physical devices. The composition of functionality across heterogeneous computing infrastructure is challenging, and will likely get even more challenging in the future as software in vehicles is updated to introduce new features and ensure the safety. New soft real-time use cases emerge and in such cases the model of offloading processing from a limited or malfunctioning device is a viable solution. This study examines orchestration of services across edge and cloud for an industrial vehicle application use case involving image based object detection using machine learning (ML) based models. First, service orchestration requirements are defined taking into account the dependable nature of industrial vehicle applications. Second, an implementation based on Arrowhead framework is presented and evaluated. The open Arrowhead framework offers means for dynamic service discovery, authorization and late binding of computational units. The feasibility of object detection as a service and the suitability of Arrowhead framework to support such orchestrations across edge and cloud is assessed.

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“…In the literature, it is wellassessed the synergy between MAS and challenges of Cyber-Physical Systems (CPS) since semantic technologies can be used to empower embedded computing and communication capabilities [3], [4]. CPS are increasingly adopted in many industrial environments, such as warehouse logistics and production monitoring [5], [6]. One of the key advantage is that a cyber-physical entity integrates its hardware function with a digital counterpart, hence it acts as a virtual representation…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Fault-Tolerant Multiagent Coordination Mechanisms

Pinciroli

Trubiani

2023

IEEE Trans. Ind. Inf.

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Performance evaluation of multi-agent systems (MAS) embraces several challenges due to uncertain operational environments, such as software/hardware failures and unfaithful communications that facilitate the spread of deceptive messages. One way to smooth the impact of reliability and security potential issues in MAS is to enforce different coordination mechanisms among agents (i.e., coordinating multiple agents that need to perform a sequence of actions to maximize a system-level reward), and evaluate their efficiency. In this paper, we propose a tool-based approach, namely COORDINATE, that simulates and compares the performance characteristics of different coordination mechanisms for MAS while considering faulttolerant and corrupted agents. A Smart Hospital is adopted as illustrative example to show the need of performancebased analysis results pointing out which coordination mechanism is more efficient. Experimental results indicate that the inter-arrival time of tasks to be accomplished, the failure probability of agents, and the ratio of faithful to malicious agents contribute to determining the efficiency of different coordination mechanisms. When varying these parameters in the considered scenarios, the system latency can be reduced up to 4.2× by selecting the optimal coordination mechanism. This way, software developers are informed on the system peculiarities that trigger the switching among such coordination mechanisms for a performance-based optimal solution.

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Dynamic Edge and Cloud Service Integration for Industrial IoT and Production Monitoring Applications of Industrial Cyber-Physical Systems

Cited by 31 publications

References 33 publications

Enabling the Industrial Internet of Things to Cloud Continuum in a Real City Environment

Enabling the Industrial Internet of Things to Cloud Continuum in a Real City Environment

Service Orchestration for Object Detection on Edge and Cloud in Dependable Industrial Vehicles

Performance Analysis of Fault-Tolerant Multiagent Coordination Mechanisms

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