[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 …

Multiuser computation offloading and resource allocation for cloud–edge heterogeneous network

Q Chen, Z Kuang, L Zhao - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Cloud–edge heterogeneous network is an emerging technique built on edge infrastructure,
which is based on the core of cloud computing technology and edge computing capabilities …

A MEC offloading strategy based on improved DQN and simulated annealing for internet of behavior

X Yuan, H Tian, Z Zhang, Z Zhao, L Liu… - ACM Transactions on …, 2022 - dl.acm.org
The Internet of Medical Things (IoMT) and Artificial Intelligence (AI) have brought
unprecedented opportunities to meet massive behavioral data access and personalization …

[HTML][HTML] An algorithm to minimize energy consumption and elapsed time for IoT workloads in a hybrid architecture

JCS Dos Anjos, JLG Gross, KJ Matteussi, GV González… - Sensors, 2021 - mdpi.com
Advances in communication technologies have made the interaction of small devices, such
as smartphones, wearables, and sensors, scattered on the Internet, bringing a whole new …

Performance optimization of serverless computing for latency-guaranteed and energy-efficient task offloading in energy-harvesting industrial IoT

H Ko, S Pack, VCM Leung - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Serverless architecture enables various intelligent applications to be run without managing
infrastructure. In this architecture, the computing cost is generally proportional to the number …

[HTML][HTML] Task offloading based on LSTM prediction and deep reinforcement learning for efficient edge computing in IoT

Y Tu, H Chen, L Yan, X Zhou - Future Internet, 2022 - mdpi.com
In IoT (Internet of Things) edge computing, task offloading can lead to additional
transmission delays and transmission energy consumption. To reduce the cost of resources …

An efficient task offloading approach based on multi-objective evolutionary algorithm in cloud-edge collaborative environment

S Long, Y Zhang, Q Deng, T Pei… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Cloud-edge collaboration can overcome the shortcomings of high latency of the centralized
model of cloud computing and insufficient computing power of edge computing, and better …

Joint device association, resource allocation, and computation offloading in ultradense multidevice and multitask IoT networks

T Zhou, Y Yue, D Qin, X Nie, X Li… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
With the emergence of more and more applications of Internet of Things (IoT) mobile devices
(IMDs), a contradiction between mobile energy demand and limited battery capacity …

Cloud and edge computation offloading for latency limited services

I Kovacevic, E Harjula, S Glisic, B Lorenzo… - IEEE …, 2021 - ieeexplore.ieee.org
Multi-access Edge Computing (MEC) is recognised as a solution in future networks to
offload computation and data storage from mobile and IoT devices to the servers at the edge …

Sdn-enabled resource orchestration for industrial iot in collaborative edge-cloud networks

J Okwuibe, J Haavisto, I Kovacevic, E Harjula… - IEEE …, 2021 - ieeexplore.ieee.org
Effective, long-lasting Industrial IoT (IIoT) solutions start with short-term gains and
progressively mature with added capabilities and value. The heterogeneous nature of IIoT …