Resource and delay aware fine-grained service offloading in collaborative edge computing

Digital twin driven service self-healing with graph neural networks in 6g edge networks

P Yu, J Zhang, H Fang, W Li, L Feng… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
6G edge networks strive to offer ubiquitous intelligent services, requiring a greater emphasis
on network stability and reliability. However, current networks present a low automation …
被引用次数：7 相关文章 所有 3 个版本

A cloud–edge–device collaborative offloading scheme with heterogeneous tasks and its performance evaluation

X Bai, Y Zhang, H Wu, Y Wang, S Jin - Frontiers of Information Technology …, 2023 - Springer
How to collaboratively offload tasks between user devices, edge networks (ENs), and cloud
data centers is an interesting and challenging research topic. In this paper, we investigate …
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Resource Management in Edge Clouds: Latency-Aware Approaches for Big Data Analysis

AHJ Pozveh, HS Shahhoseini, E Khabareh - Resource Management in …, 2024 - Springer
The growing demand for time-sensitive services has led to the necessity for effective
resource management strategies in edge clouds. These strategies are tailored to handle …
相关文章 所有 3 个版本