[HTML][HTML] Task partitioning and offloading in IoT cloud-edge collaborative computing framework: a survey

H Chen, W Qin, L Wang - Journal of Cloud Computing, 2022 - Springer
Abstract Internet of Things (IoT) is made up with growing number of facilities, which are
digitalized to have sensing, networking and computing capabilities. Traditionally, the large …

[HTML][HTML] Reinforcement learning based Islanding detection technique in distributed generation

A Jaiswal, S Chandra, A Priyadarshi, S Sachan, S Deb - Energy Reports, 2023 - Elsevier
As the scientific, technical, and economic developments of the world continue to advance,
there will be an increased requirement for Distribution Generation (DG) technology. There is …

[HTML][HTML] Performance evaluation analysis of spark streaming backpressure for data-intensive pipelines

KJ Matteussi, JCS Dos Anjos, VRQ Leithardt… - Sensors, 2022 - mdpi.com
A significant rise in the adoption of streaming applications has changed the decision-making
processes in the last decade. This movement has led to the emergence of several Big Data …

A real-time and ACO-based offloading algorithm in edge computing

YT Chuang, YT Hung - Journal of Parallel and Distributed Computing, 2023 - Elsevier
With the increasingly widespread use of networks and end devices, more and more data
and computations must be processed. With processing constrained by the limited resources …

Intelligent proactive fault tolerance at the edge through resource usage prediction

T Theodoropoulos, J Violos, S Tsanakas… - arXiv preprint arXiv …, 2023 - arxiv.org
The proliferation of demanding applications and edge computing establishes the need for
an efficient management of the underlying computing infrastructures, urging the providers to …

[HTML][HTML] Mobility-aware offloading decision for multi-access edge computing in 5G networks

S Jahandar, L Kouhalvandi, I Shayea, M Ergen… - Sensors, 2022 - mdpi.com
Multi-access edge computing (MEC) is a key technology in the fifth generation (5G) of
mobile networks. MEC optimizes communication and computation resources by hosting the …

Intelligent horizontal autoscaling in edge computing using a double tower neural network

J Violos, S Tsanakas, T Theodoropoulos… - Computer Networks, 2022 - Elsevier
Edge computing is characterized by varying workload intensities that have a strong effect on
applications' performance and requirements in terms of resources. Thus, in order to maintain …

Towards optimal edge resource utilization: Predictive analytics and reinforcement learning for task offloading

S Pradhan, S Tripathy, R Matam - Internet of Things, 2024 - Elsevier
Edge computing brings computation closer to the user devices. This proximity allows user
devices with limited resources to execute complex and computation-intensive tasks on the …

[HTML][HTML] A fuzzy-based mobile edge architecture for latency-sensitive and heavy-task applications

Y Shi, J Chu, C Ji, J Li, S Ning - Symmetry, 2022 - mdpi.com
Appropriate task offloading management strategy is a challenging problem for high delay-
sensitive and heavy-task applications. This paper proposes a fuzzy-based mobile edge …

A two-stage cooperative reinforcement learning scheme for energy-aware computational offloading

M Avgeris, M Mechennef, A Leivadeas… - 2023 IEEE 24th …, 2023 - ieeexplore.ieee.org
In the 5G/6G era of networking, computational offloading, ie, the act of transferring resource-
intensive computational tasks to separate external devices in the network proximity …