[HTML][HTML] Enabling DevOps for Fog Applications in the Smart Manufacturing domain: A Model-Driven based Platform Engineering approach

J Cuadra, E Hurtado, I Sarachaga, E Estévez… - Future Generation …, 2024 - Elsevier
Cloud Computing is revolutionizing smart manufacturing by offering on-demand and
scalable computer systems that facilitate plant data analysis and operational efficiency …

Parallel processing of sensor data in a distributed rules engine environment through clustering and data flow reconfiguration

A Alexandrescu - Sensors, 2023 - mdpi.com
An emerging reality is the development of smart buildings and cities, which improve
residents' comfort. These environments employ multiple sensor networks, whose data must …

[HTML][HTML] An Evolving Multivariate Time Series Compression Algorithm for IoT Applications

H Costa, M Silva, I Sánchez-Gendriz, CMD Viegas… - Sensors, 2024 - mdpi.com
The Internet of Things (IoT) is transforming how devices interact and share data, especially
in areas like vehicle monitoring. However, transmitting large volumes of real-time data can …

A data science pipeline synchronisation method for edge-fog-cloud continuum

DD Sanchez-Gallegos, JL Gonzalez-Compean… - Proceedings of the SC' …, 2023 - dl.acm.org
This paper presents an adaptive data delivery method for data science pipelines. While this
method is feasible for processes communicating over any network, in this work we focus on …

An on-demand collaborative edge caching strategy for edge–fog–cloud environment

S Sun, J Dong, Z Wang, X Liu, L Han - Computer Communications, 2024 - Elsevier
In this paper, we tackle the critical challenges of content edge caching, such as limited
storage capacity, content popularity prediction, dynamic user demand, and user privacy …

Microservices Architecture to Improve the Performance of Machine Learning Applications in eHealth

H Calderón-Gómez, L Mendoza-Pitti… - … on Technologies and …, 2024 - Springer
The objective of this paper is to propose an intergenerational software architecture,
designated “µe-Health 4.0,” for the integration and interconnection of traditional eHealth …

Analysis of Securing Edge-Cloud Computing and Network Based Deep Neural Intrusion Detection System as a Solution Model

A Girma, M Tamirat - Intelligent Systems Conference, 2024 - Springer
Edge cloud technologies have transformed the way enterprises handle data processing,
disaster recovery, and data protection. Moving computing resources closer to the network's …

[引用][C] Enabling DevOps for Fog Applications in the Smart Manufacturing domain: A Model-Driven based Platform Engineering approach

J Cuadra Gómez, E Hurtado Pando… - 2024 - Elsevier