Device-Specific QoE Enhancement Through Joint Communication and Computation Resource Scheduling in Edge-Assisted IoT Systems

Q Wang, Q Wang, H Zhao, H Zhang… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
With rapid adoption in vertical industries and further assistance of edge computing, Internet
of Things (IoT) applications are experiencing phenomenal growth. However, the …

A smart collaborative framework for dynamic multi-task offloading in IIoT-MEC networks

Z Ai, W Zhang, M Li, P Li, L Shi - Peer-to-Peer Networking and Applications, 2023 - Springer
The rapid development of Industrial Internet of Things (IIoT) has brought unprecedented
opportunities to the industry informatization. However, facing with billions access of IIoT …

Startup-aware dependent task scheduling with bandwidth constraints in edge computing

J Lou, Z Tang, W Jia, W Zhao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In edge computing, applications can be scheduled in the granularity of inter-dependent
tasks to proximate edge servers to achieve high performance. Before execution, the edge …

An efficient simulated annealing-based task scheduling technique for task offloading in a mobile edge architecture

A Mahjoubi, KJ Grinnemo… - 2022 IEEE 11th …, 2022 - ieeexplore.ieee.org
The Internet of Things (IoT) has emerged as a fundamental cornerstone in the digitalization
of industry and society. Still, IoT devices' limited processing and memory capacities pose a …

A Dynamic Distributed Scheduler for Computing on the Edge

F Hu, K Mehta, S Mishra, M AlMutawa - arXiv preprint arXiv:2308.06806, 2023 - arxiv.org
Edge computing has become a promising computing paradigm for building IoT (Internet of
Things) applications, particularly for applications with specific constraints such as latency or …

An optimal transport-based federated reinforcement learning approach for resource allocation in cloud-edge collaborative iot

D Gan, X Ge, Q Li - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
In the traditional cloud–edge collaborative Internet of Things (IoT), the high-communication
cost and slow convergence of the models often result in high-delay and energy …

Task-driven resource assignment in mobile edge computing exploiting evolutionary computation

L Wan, L Sun, X Kong, Y Yuan… - IEEE Wireless …, 2019 - ieeexplore.ieee.org
The IoT network allows IoT devices to communicate with other devices, applications, and
services by exploiting existing network infrastructure. Recently, a promising paradigm, MEC …

Latency-optimal pyramid-based joint communication and computation scheduling for distributed edge computing

Q Chen, K Wang, S Guo, T Shi, J Li… - … -IEEE Conference on …, 2023 - ieeexplore.ieee.org
By combing edge computing and parallel computing, distributed edge computing has
emerged as a new paradigm to accelerate computation at the edge. Considering the …

Bandwidth-deadline IoT task scheduling in fog–cloud computing environment based on the task bandwidth

NA Alsamarai, ON Uçan, OF Khalaf - Wireless Personal Communications, 2023 - Springer
Given the huge increase of internet of things (IoT) devices and the enormous amounts of
data are generated every minute. Some IoT applications needs real-time services and bit …

Mayfly Taylor Optimization-Based Graph Attention Network for Task Scheduling in Edge Computing

D Chen, X Liu - Journal of Grid Computing, 2023 - Springer
Multi-access edge computing (MEC) is a technology that enables devices with limited
processing capabilities to handle computationally intensive tasks efficiently. The challenge …