Towards a green approach for minimizing carbon emissions in fog-cloud architecture

M Aldossary, HA Alharbi - IEEE Access, 2021 - ieeexplore.ieee.org
Fog computing is developed to complement cloud computing by extending the cloud
services (computing, storage, networking, and management) to the edge of the network in …

[PDF][PDF] An Eco-Friendly Approach for Reducing Carbon Emissions in Cloud Data Centers.

M Aldossary, HA Alharbi - Computers, Materials & Continua, 2022 - researchgate.net
Based on the Saudi Green initiative, which aims to improve the Kingdom's environmental
status and reduce the carbon emission of more than 278 million tons by 2030 along with a …

Processing capacity‐based decision mechanism edge computing model for IoT applications

S Premkumar, AN Sigappi - Computational Intelligence, 2023 - Wiley Online Library
The handling of complex tasks in IoT applications becomes difficult due to the limited
availability of resources in most IoT devices. There arises a need to offload the IoT tasks with …

From Virtual Worlds to Real-World Impact: An Industrial Metaverse Survey

M Prummer, E Regnath, S Singh, H Kosch - Future of Information and …, 2024 - Springer
Metaverse for industrial applications has enormous potential for accelerating digital
transformation. More than ever, digital transformation, especially in manufacturing and …

[PDF][PDF] Optimization Scheme of Trusted Task Offloading in IIoT Scenario Based on DQN.

X Wang, Z Lu, S Sun, J Wang, L Song… - Computers, Materials & …, 2023 - researchgate.net
With the development of the Industrial Internet of Things (IIoT), end devices (EDs) are
equipped with more functions to capture information. Therefore, a large amount of data is …

SCESP: An edge server placement method based on spectral clustering in mobile edge computing

L Wang, Y Guo, J Yao, S Zhou - International Conference on Artificial …, 2022 - Springer
With the rapid development of Internet of Things (IoT) and 5G, mobile edge computing is
gaining popularity for its low computation latency, bandwidth costs and energy consumption …

A Systematic Review of Optimal Task Scheduling Methods Using Machine Learning in Cloud Computing Environments

KR Patwari, R Kumar, J Sastry - International Conference on Advances in …, 2024 - Springer
Cloud infrastructure has enabled novel business models leading to exponential growth of
cloud usage in diversified applications. Consumers of cloud offerings include individuals as …

Large-scale mobile edge computing with joint offloading decision and resource allocation

Y Lu, MX Luo, X Wang - … Conference on Artificial Intelligence and Security, 2022 - Springer
Abstract Mobile Edge Computing (MEC) marginalizes the computing resources of the core
network. So far, most of results have only focused on small number of users or servers. In …

Learning in Cloud Computing

KR Patwari, R Kumar, J Sastry - Advances in Information …, 2024 - books.google.com
Cloud infrastructure has enabled novel business models leading to expo-nential growth of
cloud usage in diversified applications. Consumers of cloud offerings include individuals as …

A novel machine learning model enabled by Perovskite-memristor-based hardware

I Shmarov - 2024 - theses.ncl.ac.uk
Machine learning (ML) offers the automation of routine yet highly complex decision making
processes, previously regarded as only a human job. However, ML is still limited by the …