The Anatomy of IoT Platforms—A Systematic Multivocal Mapping Study

Barros, Tiago; Neto, Eronides F. Da Silva; Neto, João Alexandre; Souza, Andre G. M. De; Aquino, Vitor B.; Teixeira, Erico S.

doi:10.1109/access.2022.3189660

Cited by 13 publications

(5 citation statements)

References 51 publications

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“…In [14], the authors present a comparison among several IoT platforms, KAA, Thingspeak, Microsoft Azure IoT, Thingsboard, and AWS IoT, but they focused their work in comparing platform-related services such as device management, networking, and data storage, leaving out the performance analysis. In [16] and [15], the authors provide an analysis of the functionalities of IoT platforms. The first focuses on OpenMTC, FIWARE, SiteWhere, and AWS IoT, while the latter focuses on AWS IoT, Azure IoT, Watson IoT, PTC ThingWorx and Google IoT.…”

Section: B Tests and Resultsmentioning

confidence: 99%

Siemens and EdgeX IIoT Platforms: A Functional and Performance Evaluation

Venanzi,

Solimando,

Patrali

et al. 2023

ICC 2023 - IEEE International Conference on Communications

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Recently, the Industrial Internet of Things (IIoT) and Industry 4.0 paradigms have attracted considerable relevance by leading all manufacturing companies to invest in IIoT solutions in order to be competitive on the market. Despite the huge number of IIoT solutions on the market, all platforms refer to a common architectural model and share the same functionalities. Among these functionalities, the most relevant is the capability of deploy and run custom containerized applications. This feature has a pivotal role of customizing the IIoT platform and tailoring it to each business scenario. In this paper, we define the general architectural model and common functionalities of the IIoT platforms. Then, we analyze and compare two of the most used IIoT solutions on the market, Siemens Industrial Edge, and EdgeX Foundry. We also define three metrics for evaluating the functionality of deploying custom services on the edge, and we test these two platforms. Finally, we present their comparative performance, advantages, and limitations.

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Section: B Tests and Resultsmentioning

confidence: 99%

Siemens and EdgeX IIoT Platforms: A Functional and Performance Evaluation

Venanzi,

Solimando,

Patrali

et al. 2023

ICC 2023 - IEEE International Conference on Communications

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“…For gateway health monitoring, GET requests to relevant URLs yield real-time data on availability, including packet timestamps, connection status, version, model, and more. These data support alert systems and visualizations, ensuring prompt issue detection and optimal gateway operation in TTN [10].…”

Section: Ttn Application and Gateway Apismentioning

confidence: 98%

“…Meanwhile, the MQTT Gateway Server provides gateway performance data, availability, and connectivity status. It also enables gateway management and coordination for infrastructure control [10,11].…”

Section: Mqtt Application and Gateway Servermentioning

confidence: 99%

Private LoRaWAN Network Gateways: Assessment and Monitoring in the Context of IIoT-Based Management

Sanchez,

Raposo,

Rodrigues

et al. 2023

XXXI Conference on Electrical and Electronic Engineering

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“…Cloud platforms provide scalability, flexibility, security, and availability, which makes them well-suited for creating expansive IoT environments [30]. In [31], prominent cloud-based IoT platforms like AWS IoT, Azure IoT, Watson IoT, PTC ThingWorx, and Google IoT are identified. The study affirms that these public clouds provide essential functionalities for constructing extensive IoT environments.…”

Section: Ship Data Collection and Servicementioning

confidence: 99%

Enhancing IoT Connectivity and Services for Worldwide Ships through Multi-Region Fog Cloud Architecture Platforms

Hwang,

Joe

2023

Electronics

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As technologies such as eco-friendly ships, electric propulsion vessels, and multi-fuel propulsion systems advance, the scope of IoT applications in maritime fields is expanding, resulting in increased complexity in control factors. The gradual progression towards Maritime Autonomous Surface Ships (MASS) is further driving the evolution of ship-based IoT applications. These advancements underscore the necessity for a platform capable of ensuring reliable connectivity between ships and onshore. The limitations of the existing single cloud architecture become evident in this context. In response to these emerging challenges, this paper presents a cloud-based data platform structure anchored in the architecture of a multi-region fog cloud. Concurrently, we propose a strategic approach aimed at enhancing collision avoidance performance. This is achieved through the seamless sharing of navigation plan data among ships facilitated by the proposed platform structure. In regions densely populated with ships, there looms a potential for packet loss as data traffic sharing intensifies through the platform. To address this concern, we devised a traffic model based on the AIS data generation cycle and proposed an algorithm for subscription decision. Subsequently, we conducted comparative analyses of packet loss probabilities between the single cloud structure and the multi-region fog cloud structure. This was achieved through experimental packet loss data collected via the AWS cloud. Simulation results underscored a notable difference: with 100 subscribed ships, the packet loss probability in regions assuming a single cloud was about 28 times higher compared to the same region within the multi-region fog cloud structure. These simulations affirm the stable and effective implementation of the proposed collision avoidance performance enhancement method within the multi-region fog cloud structure. Furthermore, feasibility was corroborated through the successful implementation of the proposed platform via the AWS Cloud.

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The Anatomy of IoT Platforms—A Systematic Multivocal Mapping Study

Cited by 13 publications

References 51 publications

Siemens and EdgeX IIoT Platforms: A Functional and Performance Evaluation

Siemens and EdgeX IIoT Platforms: A Functional and Performance Evaluation

Private LoRaWAN Network Gateways: Assessment and Monitoring in the Context of IIoT-Based Management

Enhancing IoT Connectivity and Services for Worldwide Ships through Multi-Region Fog Cloud Architecture Platforms

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