[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 …
digitalized to have sensing, networking and computing capabilities. Traditionally, the large …
[HTML][HTML] Reinforcement learning based Islanding detection technique in distributed generation
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 …
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
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 …
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 …
and computations must be processed. With processing constrained by the limited resources …
Intelligent proactive fault tolerance at the edge through resource usage prediction
The proliferation of demanding applications and edge computing establishes the need for
an efficient management of the underlying computing infrastructures, urging the providers to …
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
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 …
mobile networks. MEC optimizes communication and computation resources by hosting the …
Intelligent horizontal autoscaling in edge computing using a double tower neural network
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 …
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
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 …
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 …
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 …
intensive computational tasks to separate external devices in the network proximity …