Scheduling IoT applications in edge and fog computing environments: A taxonomy and future directions

M Goudarzi, M Palaniswami, R Buyya - ACM Computing Surveys, 2022 - dl.acm.org
Fog computing, as a distributed paradigm, offers cloud-like services at the edge of the
network with low latency and high-access bandwidth to support a diverse range of IoT …

Reinforcement learning methods for computation offloading: a systematic review

Z Zabihi, AM Eftekhari Moghadam… - ACM Computing …, 2023 - dl.acm.org
Today, cloud computation offloading may not be an appropriate solution for delay-sensitive
applications due to the long distance between end-devices and remote datacenters. In …

Joint task offloading and resource allocation for energy-constrained mobile edge computing

H Jiang, X Dai, Z Xiao, A Iyengar - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
We consider the problem of task offloading and resource allocation in mobile edge
computing (MEC). To maintain satisfactory quality of experience (QoE) of end-users, mobile …

The convergence and interplay of edge, fog, and cloud in the AI-driven Internet of Things (IoT)

F Firouzi, B Farahani, A Marinšek - Information Systems, 2022 - Elsevier
Abstract The Internet of Things (IoT) tsunami, public embracement, and the ubiquitous
adoption of smart devices are affecting virtually every industry, directly or indirectly. The …

Deep reinforcement learning for energy-efficient computation offloading in mobile-edge computing

H Zhou, K Jiang, X Liu, X Li… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Mobile-edge computing (MEC) has emerged as a promising computing paradigm in the 5G
architecture, which can empower user equipments (UEs) with computation and energy …

Deadline-aware and energy-efficient IoT task scheduling in fog computing systems: A semi-greedy approach

S Azizi, M Shojafar, J Abawajy, R Buyya - Journal of network and computer …, 2022 - Elsevier
With the rapid advancement of Internet of Things (IoT) devices, a variety of IoT applications
that require a real-time response and low latency have emerged. Fog computing has …

Game theory for distributed IoV task offloading with fuzzy neural network in edge computing

X Xu, Q Jiang, P Zhang, X Cao… - … on Fuzzy Systems, 2022 - ieeexplore.ieee.org
The development of the Internet of vehicles (IoV) has spawned a series of driving assistance
services (eg, collision warning), which improves the safety and intelligence of transportation …

Lyapunov-guided deep reinforcement learning for stable online computation offloading in mobile-edge computing networks

S Bi, L Huang, H Wang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Opportunistic computation offloading is an effective method to improve the computation
performance of mobile-edge computing (MEC) networks under dynamic edge environment …

DMRO: A deep meta reinforcement learning-based task offloading framework for edge-cloud computing

G Qu, H Wu, R Li, P Jiao - IEEE Transactions on Network and …, 2021 - ieeexplore.ieee.org
With the explosive growth of mobile data and the unprecedented demand for computing
power, resource-constrained edge devices cannot effectively meet the requirements of …

A hybrid approach for latency and battery lifetime optimization in IoT devices through offloading and CNN learning

A Heidari, NJ Navimipour, MAJ Jamali… - … : Informatics and Systems, 2023 - Elsevier
Offloading assists in overcoming the resource constraints of specific elements, making it one
of the primary technical enablers of the Internet of Things (IoT). IoT devices with low battery …