Low-Latency Anomaly Detection on the Edge-Cloud Continuum for Industry 4.0 Applications: the SEAWALL Case Study

Bacchiani, Lorenzo; Palma, Giuseppe De; Sciullo, Luca; Bravetti, Mario; Felice, Marco Di; Gabbrielli, Maurizio; Zavattaro, Gianluigi; Penna, Roberto Della

doi:10.1109/iotm.001.2200120

Cited by 8 publications

(2 citation statements)

References 14 publications

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“…The development of fresh solutions in the complementary fields of processing and communication is being driven by this issue. While EC solutions are being looked into to minimize processing latency and conserve bandwidth, time-sensitive networking (TSN) and 5G standards are being examined to reduce data acquisition latency and ensure deterministic message delivery [118].…”

Section: Appendix Industry 40mentioning

confidence: 99%

A Survey on Integrating Edge Computing With AI and Blockchain in Maritime Domain, Aerial Systems, IoT, and Industry 4.0

Alanhdi,

Toka

2024

IEEE Access

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In terms of digital transformation, organizations today are aware of the critical role that data and information play in their expansion and development in light of the Internet of Things. To increase network performance and stability, many applications are moving from cloud computing to edge computing (EC). However, in order to satisfy customers, applications like intelligent transportation systems, smart grids, smart cities, and healthcare call for even more effective services. This survey addresses extensive research on two aspects: firstly, we present the advancements of two application domains namely maritime areas and aerial systems in terms of integration with EC architecture. Secondly, we cover the most recent technologies, artificial intelligence (AI) and blockchain, combined into the EC paradigm by discussing several experiments conducted in various fields to demonstrate the value of utilizing them in the edge computing architecture. We analyze the results of eleven experiments in each technology from 2015 to 2023.INDEX TERMS Edge computing, maritime domain, aerial systems, IoT, Industry 4.0, artificial intelligence, blockchain.

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Section: Appendix Industry 40mentioning

confidence: 99%

A Survey on Integrating Edge Computing With AI and Blockchain in Maritime Domain, Aerial Systems, IoT, and Industry 4.0

Alanhdi,

Toka

2024

IEEE Access

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“…The Cloud-Edge-IoT computing continuum has been explored in various areas of research. For instance, it has been investigated to provide services and applications for autonomous vehicles [26], smart cities [27], UAV cooperative schemes [28] and Industry 4.0 [29], where most of the data require real-time processing using machine learning and artificial intelligence.…”

Section: Cloud Continuummentioning

confidence: 99%

The Cloud-to-Edge-to-IoT Continuum as an Enabler for Search and Rescue Operations

et al. 2023

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When a natural or human disaster occurs, time is critical and often of vital importance. Data from the incident area containing the information to guide search and rescue (SAR) operations and improve intervention effectiveness should be collected as quickly as possible and with the highest accuracy possible. Nowadays, rescuers are assisted by different robots able to fly, climb or crawl, and with different sensors and wireless communication means. However, the heterogeneity of devices and data together with the strong low-delay requirements cause these technologies not yet to be used at their highest potential. Cloud and Edge technologies have shown the capability to offer support to the Internet of Things (IoT), complementing it with additional resources and functionalities. Nonetheless, building a continuum from the IoT to the edge and to the cloud is still an open challenge. SAR operations would benefit strongly from such a continuum. Distributed applications and advanced resource orchestration solutions over the continuum in combination with proper software stacks reaching out to the edge of the network may enhance the response time and effective intervention for SAR operation. The challenges for SAR operations, the technologies, and solutions for the cloud-to-edge-to-IoT continuum will be discussed in this paper.

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Underwater Mediterranean image analysis based on the compute continuum paradigm

Ferrari,

D’Agostino,

Aguzzi

et al. 2025

Future Generation Computer Systems

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Low-Latency Anomaly Detection on the Edge-Cloud Continuum for Industry 4.0 Applications: the SEAWALL Case Study

Abstract: Some rights reserved. The terms and conditions for the reuse of this version of the manuscript are specified in the publishing policy. For all terms of use and more information see the publisher's website.

Cited by 8 publications

References 14 publications

A Survey on Integrating Edge Computing With AI and Blockchain in Maritime Domain, Aerial Systems, IoT, and Industry 4.0

A Survey on Integrating Edge Computing With AI and Blockchain in Maritime Domain, Aerial Systems, IoT, and Industry 4.0

The Cloud-to-Edge-to-IoT Continuum as an Enabler for Search and Rescue Operations

Underwater Mediterranean image analysis based on the compute continuum paradigm

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