Results 11 to 20 of about 859,199 (285)

Distributed Learning in the IoT–Edge–Cloud Continuum

Machine Learning and Knowledge Extraction
The goal of the IoT–Edge–Cloud Continuum approach is to distribute computation and data loads across multiple types of devices taking advantage of the different strengths of each, such as proximity to the data source, data access, or computing power ...
Audris Arzovs, Janis Judvaitis, Krisjanis Nesenbergs, Leo Selavo   +3 more
doaj   +3 more sources

The Internet of Things, Fog, and Cloud Continuum: Integration Challenges and Opportunities for Smart Cities

Future Internet
This paper explores the broad area of Smart City services and how the evolving Cloud-Edge-IoT continuum can support application deployment in Smart Cities. We initially introduce a range of Smart City services and highlight their computational needs.
Rodger Lea, Toni Adame, Alexandre Berne, Selma Azaiez   +3 more
doaj   +3 more sources

Cloud business models and sustainability: impacts for businesses and e-research [PDF]

, 2010
This paper reviews current cloud computing business models and presents proposals on how organisations can achieve sustainability by adopting appropriate models.
De Roure, David, De Roure, D, Wills, G, Chang, Victor, Chang, V, Wills, Gary   +5 more
core   +9 more sources

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

Sensors, 2021
Alberico de Castro Barros Filho, Susana Sargento, Pedro Rito   +2 more
exaly   +2 more sources

A Layered Middleware for OT/IT Convergence to Empower Industry 5.0 Applications

Sensors, 2021
We are still in the midst of Industry 4.0 (I4.0), with more manufacturing lines being labeled as smart thanks to the integration of advanced ICT in Cyber–Physical Systems (CPS). While I4.0 aims to provision cognitive CPS systems, the nascent Industry 5.0
Lorenzo Patera, Andrea Garbugli, Armir Bujari, Domenico Scotece, Antonio Corradi   +4 more
doaj   +1 more source

Assuring Brokerage Quality in the Cloud–Edge Continuum

Future Internet
The Cloud–Edge Continuum (CEC) has emerged as a paradigm for distributing computational resources across cloud, fog, and edge layers, enabling latency-sensitive applications to operate efficiently. However, ensuring the quality of service (QoS) brokerage
Evangelos Barmpas, Simeon Veloudis, Yiannis Verginadis, Iraklis Paraskakis   +3 more
doaj   +3 more sources

Mobile IoT-Edge-Cloud Continuum Based and DevOps Enabled Software Framework

Journal of Sensor and Actuator Networks, 2021
This research aims to provide a high-level software framework for IoT-Edge-Cloud computational continuum-based applications with support for mobile IoT and DevOps integration utilizing the Edge computing paradigms. This is achieved by dividing the system
Janis Judvaitis, Rihards Balass, Modris Greitans   +2 more
doaj   +1 more source

Managing and Deploying Distributed and Deep Neural Models Through Kafka-ML in the Cloud-to-Things Continuum

IEEE Access, 2021
The Internet of Things (IoT) is constantly growing, generating an uninterrupted data stream pipeline to monitor physical world information. Hence, Artificial Intelligence (AI) continuously evolves, improving life quality and business and academic ...
Alejandro Carnero, Cristian Martin, Daniel R. Torres, Daniel Garrido, Manuel Diaz, Bartolome Rubio   +5 more
doaj   +1 more source

Network for Distributed Intelligence: A Survey and Future Perspectives

IEEE Access, 2023
To keep pace with the explosive growth of Artificial Intelligence (AI) and Machine Learning (ML)-dominated applications, distributed intelligence solutions are gaining momentum, which exploit cloud facilities, edge nodes and end-devices to increase the ...
Claudia Campolo, Antonio Iera, Antonella Molinaro   +2 more
doaj   +1 more source

Towards Characterization of Edge-Cloud Continuum

, 2023
Internet of Things and cloud computing are two technological paradigms that reached widespread adoption in recent years. These paradigms are complementary: IoT applications often rely on the computational resources of the cloud to process the data generated by IoT devices.
Danylo Khalyeyev, Tomás Bures, Petr Hnetynka   +2 more
openaire   +2 more sources