An assignment mechanism for workflow scheduling in Function as a Service edge environment

SH Mahdizadeh, S Abrishami - Future Generation Computer Systems, 2024 - Elsevier
Serverless computing has revolutionized cloud-based software development for software
developers, addressing many of the associated challenges. With resource management and …

Modeling on energy-efficiency computation offloading using probabilistic action generating

C Wang, W Lu, S Peng, Y Qu… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Wireless-powered mobile-edge computing (MEC) emerges as a crucial component in the
Internet of Things (IoTs). It can cope with the fundamental performance limitations of low …

Decentralized computation offloading via multi-agent deep reinforcement learning for NOMA-assisted mobile edge computing with energy harvesting devices

A Daghayeghi, M Nickray - Journal of Systems Architecture, 2024 - Elsevier
Supporting latency-sensitive and computation-intensive applications is hardly possible for
mobile devices (MDs) with limited battery capacity and low computing resources. Therefore …

Partial and cost-minimized computation offloading in hybrid edge and cloud systems

H Yuan, J Bi, Z Wang, J Yang, J Zhang - Expert Systems with Applications, 2024 - Elsevier
Nowadays, numerous mobile devices (MDs) provide nearly anytime and anywhere services,
running on top of various computation-intensive applications. However, bearing limited …

Dependency-Aware Dynamic Task Offloading Based on Deep Reinforcement Learning in Mobile Edge Computing

J Fang, D Qu, H Chen, Y Liu - IEEE Transactions on Network …, 2023 - ieeexplore.ieee.org
The rapid advancement of mobile edge computing (MEC) networks has enabled the
augmentation of the computational power of mobile devices (MDs) by offloading …

Minimization of VANET execution time based on joint task offloading and resource allocation

N Wan, Y Luo, G Zeng, X Zhou - Peer-to-Peer Networking and Applications, 2023 - Springer
There are numerous real-time and low latency application scenarios of the Internet of
Vehicles (IoV), such as autonomous driving. The efficient use of limited computing and …

Microservice instances selection and load balancing in fog computing using deep reinforcement learning approach

W Boudieb, A Malki, M Malki, A Badawy… - Future Generation …, 2024 - Elsevier
Fog-native computing is an emerging paradigm that makes it possible to build flexible and
scalable Internet of Things (IoT) applications using microservice architecture at the network …

Edge Collaborative Online Task Offloading Method Based on Reinforcement Learning

M Sun, T Bao, D Xie, H Lv, G Si - Electronics, 2023 - mdpi.com
With the vigorous development of industries such as self-driving, edge intelligence, and the
industrial Internet of Things (IoT), the amount and type of data generated are …

Time-continuous computing offloading algorithm with user fairness guarantee

H Hao, W Ding, W Zhang - Journal of Network and Computer Applications, 2024 - Elsevier
Computing offloading is a potential avenue to reduce transmission delay by moving
computing tasks from cloud to edge nodes. Due to the limited computing capacity of edge …

Computing power network: A survey

S Yukun, L Bo, L Juniin, H Haonan, Z Xing… - China …, 2024 - ieeexplore.ieee.org
With the rapid development of cloud computing, edge computing, and smart devices,
computing power resources indicate a trend of ubiquitous deployment. The traditional …