Resource scheduling in edge computing: Architecture, taxonomy, open issues and future research directions
The implementation of the Internet of Things and 5G communications has pushed
centralized cloud computing toward edge computing resulting in a paradigm shift in …
centralized cloud computing toward edge computing resulting in a paradigm shift in …
Artificial intelligence applications and self-learning 6G networks for smart cities digital ecosystems: Taxonomy, challenges, and future directions
The recent upsurge of smart cities' applications and their building blocks in terms of the
Internet of Things (IoT), Artificial Intelligence (AI), federated and distributed learning, big data …
Internet of Things (IoT), Artificial Intelligence (AI), federated and distributed learning, big data …
A decade of research in fog computing: Relevance, challenges, and future directions
SN Srirama - Software: Practice and Experience, 2024 - Wiley Online Library
Recent developments in the Internet of Things (IoT) and real‐time applications, have led to
the unprecedented growth in the connected devices and their generated data. Traditionally …
the unprecedented growth in the connected devices and their generated data. Traditionally …
[HTML][HTML] QoS-SLA-aware adaptive genetic algorithm for multi-request offloading in integrated edge-cloud computing in Internet of vehicles
Abstract The Internet of Vehicles over vehicular ad hoc network is an emerging technology
enabling the development of smart applications focused on improving traffic safety, traffic …
enabling the development of smart applications focused on improving traffic safety, traffic …
Multitask multiobjective deep reinforcement learning-based computation offloading method for industrial Internet of Things
J Cai, H Fu, Y Liu - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Edge computing has emerged as a promising paradigm to deploy computing resources to
the network edge. However, most existing computation offloading strategies consider only …
the network edge. However, most existing computation offloading strategies consider only …
SyRoC: Symbiotic robotics for QoS-aware heterogeneous applications in IoT-edge-cloud computing paradigm
Smart Robots, as an advanced domain of widespread concern, can be applied in diverse
fields to perform compute-intensive Internet of Things (IoT) applications. However, their …
fields to perform compute-intensive Internet of Things (IoT) applications. However, their …
Fault location of distribution network based on back propagation neural network optimization algorithm
C Zhou, S Gui, Y Liu, J Ma, H Wang - Processes, 2023 - mdpi.com
Research on fault diagnosis and positioning of the distribution network (DN) has always
been an important research direction related to power supply safety performance. The back …
been an important research direction related to power supply safety performance. The back …
Enhanced multi-objective gorilla troops optimizer for real-time multi-user dependent tasks offloading in edge-cloud computing
This research paper investigates Mobile Edge Computing (MEC) networks, which involve
numerous wireless devices transferring their computation tasks to various edge servers and …
numerous wireless devices transferring their computation tasks to various edge servers and …
Energy-Efficient and QoS-Aware Computation Offloading in GEO/LEO Hybrid Satellite Networks
Benefiting from advanced satellite payload technologies, edge computing servers can be
deployed on satellites to achieve orbital computing and reduce the mission processing …
deployed on satellites to achieve orbital computing and reduce the mission processing …
Workload-aware scheduling of real-time jobs in cloud computing to minimize energy consumption
Cloud computing is a powerful paradigm that can provide high-quality computation services
to customers. Because its energy consumption has a large effect on its service price, this …
to customers. Because its energy consumption has a large effect on its service price, this …