Message-oriented Middleware for Industrial Production Systems

Sommer, Philipp; Schellroth, Florian; Fischer, Marc; Schlechtendahl, Jan

doi:10.1109/coase.2018.8560493

Cited by 30 publications

(16 citation statements)

References 10 publications

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“…First, scalability was handled by the use of an asynchronous approach using the Pub-Sub data distribution paradigm, which allows several processes to access the same information in parallel. The scalability of Pub-Sub solutions is well-established in many fields [79] [80] . Further, part of the context discovery processing is distributed and performed within the W-Kit in our solution.…”

Section: Discussionmentioning

confidence: 99%

A conceptual IoT-based early-warning architecture for remote monitoring of COVID-19 patients in wards and at home

et al. 2022

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Due to the COVID-19 pandemic, health services around the globe are struggling. An effective system for monitoring patients can improve healthcare delivery by avoiding in-person contacts, enabling early-detection of severe cases, and remotely assessing patients’ status. Internet of Things (IoT) technologies have been used for monitoring patients’ health with wireless wearable sensors in different scenarios and medical conditions, such as noncommunicable and infectious diseases. Combining IoT-related technologies with early-warning scores (EWS) commonly utilized in infirmaries has the potential to enhance health services delivery significantly. Specifically, the NEWS-2 has been showing remarkable results in detecting the health deterioration of COVID-19 patients. Although the literature presents several approaches for remote monitoring, none of these studies proposes a customized, complete, and integrated architecture that uses an effective early-detection mechanism for COVID-19 and that is flexible enough to be used in hospital wards and at home. Therefore, this article's objective is to present a comprehensive IoT-based conceptual architecture that addresses the key requirements of scalability, interoperability, network dynamics, context discovery, reliability, and privacy in the context of remote health monitoring of COVID-19 patients in hospitals and at home. Since remote monitoring of patients at home (essential during a pandemic) can engender trust issues regarding secure and ethical data collection, a consent management module was incorporated into our architecture to provide transparency and ensure data privacy. Further, the article details mechanisms for supporting a configurable and adaptable scoring system embedded in wearable devices to increase usefulness and flexibility for health care professions working with EWS.

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Section: Discussionmentioning

confidence: 99%

A conceptual IoT-based early-warning architecture for remote monitoring of COVID-19 patients in wards and at home

et al. 2022

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“…Following the above, the Broker system is mapped into a set of publish-subscribe queues, starting from local queues deployed in each site facility (Intra-site broker) that aggregate metrics to the Interworking publish-subscribe queue (Inter-site broker), which provides a transparent and seamless access to metrics', KPIs' and results' values from all sites to components from upper layers. These queues, together with the Metrics Management service, are implemented by the Data Collection Manager component in 5G EVE architecture, based on Apache Kafka 4 , an open-source, industryproven publish-subscribe tool that manages data pipes and forwards the published data to the different components subscribed, providing a higher maximum sustainable throughput than other broker-based message-oriented middleware technologies [7]. This makes Kafka an optimal solution for data-movement, frequently adopted as pipe to different processing systems [8].…”

Section: Implementation: the Publish-subscribe Paradigmmentioning

confidence: 99%

“…The testbed used for the evaluation of the architecture consists on two Virtual Machines (VMs) deployed in a host located in the 5G EVE Spanish site facility, 5TONIC 7 , using Proxmox 8 as virtualization environment. This host is equipped with 40 Intel(R) Xeon(R) CPU E5-2630 v4 at 2.20GHz and 128 GB RAM.…”

Section: B Testbed Setupmentioning

confidence: 99%

A Monitoring Framework for Multi-Site 5G Platforms

Pérez¹,

García-Reinoso

Zabala³

et al. 2020

2020 European Conference on Networks and Communications (EuCNC)

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The fifth generation (5G) of mobile networks will have to accommodate different types of use cases, each of them with different and stringent requirements and key performance indicators (KPIs). To support this, apart from novel technologies such as network slicing or artificial intelligence, 5G will require a flexible and efficient monitoring system. The collected metrics serve to optimize the performance of the network, and to confirm the achievement of the KPIs. Furthermore, in the envisioned multi-site, multi-stakeholder scenarios, having a common monitoring system is even more critical for an efficient optimization and service provisioning. In this paper, we present a Monitoring architecture for the distribution and consumption of metrics and KPIs for 5G multi-site platforms, where different verticals from different stakeholders are implemented over a shared infrastructure. We also assess the performance of the implemented publish-subscribe paradigm, to confirm that it suits the requirements of these scenarios, and discuss how the architecture could be mapped to other 5G scenarios.

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“…All the Site Brokers and the Data Collection Manager are based on Apache Kafka [20], an open-source, industry-proven publish-subscribe tool that manages data pipes and forwards the published data to the different components subscribed, providing a higher maximum sustainable throughput than other broker-based message-oriented middleware technologies [21]. Moreover, it also implements several useful functionalities related to data transformation and normalization (Kafka Streams), security (Kafka ACL) or data persistence (Kafka Store), among others [22].…”

Section: Implementation Based On the Publish-subscribe Paradigmmentioning

confidence: 99%

A Distributed Framework Based on Publish-Subscribe to Monitor Beyond 5G Networks

Pérez¹,

García-Reinoso²,

Zabala³

et al. 2020

Preprint

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The Fifth-Generation (5G) of mobile networks is designed to accommodate different types of use cases, each of them with different and stringent requirements and Key Performance Indicators (KPIs). To support the optimization of the network performance and validation of the KPIs, there exists the necessity of a flexible and efficient monitoring system, capable of realizing multi-site and multi-stakeholder scenarios. Nevertheless, for the evolution from 5G to 6G, the network is envisioned as a user-driven, distributed Cloud computing system where the resource pool is foreseen to integrate the participating users. In this scope, current monitoring solutions are limited, as they have to be able to maintain 5G performance in a distributed system with heterogeneous resources and still be efficient and sustainable. In this paper, we present a distributed monitoring architecture for Beyond 5G multi-site platforms, where different stakeholders share the resource pool in a distributed environment. Taking advantage of the usage of publish-subscribe mechanisms adapted to the Edge, the developed lightweight monitoring solution can manage large amounts of real-time traffic generated by the applications located in the resource pool. We assess the performance of the implemented paradigm, to confirm that it suits the requirements of the proposed scenarios, and discuss how the architecture could be mapped to other 5G or Beyond 5G scenarios.

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Message-oriented Middleware for Industrial Production Systems

Cited by 30 publications

References 10 publications

A conceptual IoT-based early-warning architecture for remote monitoring of COVID-19 patients in wards and at home

A conceptual IoT-based early-warning architecture for remote monitoring of COVID-19 patients in wards and at home

A Monitoring Framework for Multi-Site 5G Platforms

A Distributed Framework Based on Publish-Subscribe to Monitor Beyond 5G Networks

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