Digitalization in response to carbon neutrality: Mechanisms, effects and prospects

J Ma, L Yang, D Wang, Y Li, Z **e, H Lv… - … and Sustainable Energy …, 2024 - Elsevier
Digitalization has unfolded great opportunities for its ability to promote carbon neutrality.
Nevertheless, it is still in a nascent stage enduring uncertainties due to the lack of clear …

[HTML][HTML] Data ecosystem business models: Value propositions and value capture with Artificial Intelligence of Things

R Toorajipour, P Oghazi, M Palmié - International Journal of Information …, 2024 - Elsevier
The emergence of data as a critical asset and the prevalence of technologies such as the
Artificial Intelligence of Things (AIoT) on the one hand, and the importance of collaborations …

Deep reinforcement learning-based scheduling in distributed systems: a critical review

Z Jalali Khalil Abadi, N Mansouri, MM Javidi - Knowledge and Information …, 2024 - Springer
Many fields of research use parallelized and distributed computing environments, including
astronomy, earth science, and bioinformatics. Due to an increase in client requests, service …

EMI and IEMI impacts on the radio communication network of electrified railway systems: A critical review

Y Fan, L Zhang, K Li - IEEE Transactions on Vehicular …, 2023 - ieeexplore.ieee.org
The electrified railway system has been rapidly rolled out in many countries and regions in
the past decades, along with the transportation decarbonization agenda. The latest …

Edge Computing Enabling Internet of Ships: A Survey on Architectures, Emerging Applications, and Challenges

H Chen, Y Wen, Y Huang, C **ao… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
The Internet of Ships (IoS), by integrating advanced technologies, such as the Internet of
Things, cloud computing, and artificial intelligence, aims to interconnect and communicate …

Latency, energy and carbon aware collaborative resource allocation with consolidation and QoS degradation strategies in edge computing

WE Gnibga, A Blavette… - 2023 IEEE 29th …, 2023 - ieeexplore.ieee.org
Edge Computing has emerged from the Cloud to tackle the increasingly stringent latency,
reliability and scalability imperatives of modern applications, mainly in the Internet of Things …

Optimization of the fixed-point representation of measurement data for intelligent measurement systems

MR Dinčić, ZH Perić, DB Denić, BD Denić - Measurement, 2023 - Elsevier
The development of intelligent measurement systems by implementing AI (artificial
intelligence) algorithms on edge sensor nodes is very topical. Due to very limited hardware …

Relationship between resource scheduling and distributed learning in IoT edge computing—An insight into complementary aspects, existing research and future …

HV Marisetty, N Fatima, M Gupta, P Saxena - Internet of Things, 2024 - Elsevier
Abstract Resource Scheduling and Distributed learning play a key role in Internet of Things
(IoT) edge computing systems. There has been extensive research in each area, however …

Decentralized Task Scheduling in Satellite Edge Computing

E Casalicchio, D Magliarisi - 2024 9th International Conference …, 2024 - ieeexplore.ieee.org
Satellite Edge Computing has been recently introduced to deploy innovative computational
services in space using Low Earth Orbit (LEO) satellite constellations as a distributed …

ENACT-A Framework for Adaptive Scheduling and Deployments of Data Intensive Workloads on Energy Efficient Edge to Cloud Continuum

A Nizamis, J Neises, D Ospina, U Wajid… - … , and Innovation (ICE …, 2024 - ieeexplore.ieee.org
In the last couple of decades, enterprises have relished and leveraged the capacity,
performance, scalability, and quality of cloud computing services. However, a few years ago …