Changchun Institute of Optics,Fine Mechanics and Physics,CAS
A Deep Reinforcement Learning Approach for Efficient Image Processing Task Offloading in Edge-Cloud Collaborative Environments | |
M. Sun, T. Bao, D. Xie, H. Lv and G. Si | |
2023 | |
发表期刊 | Traitement Du Signal |
ISSN | 0765-0019 |
卷号 | 40期号:4页码:1329-1339 |
摘要 | In the wake of the burgeoning Internet of Things (IoT) era and the increasing prevalence of image-based applications on mobile platforms, a significant demand for computing resources has been witnessed. While traditional cloud computing has been limited by substantial transmission distances and notable response delays, mobile edge computing, where communication, computation, and storage resources are situated on edge devices, has emerged as a superior alternative. In this context, the challenge of offloading image processing tasks for multiple users, especially considering the collaboration of edge servers under computational and communication resource constraints, is investigated. A primary objective is to strike a balance between energy consumption and task delays, thereby aiming to curtail the total associated costs. The novel framework introduced, termed as Image Collaborative Task Offloading System using Deep Reinforcement Learning (I-CTOS-DRL), is specifically designed for image processing tasks in edge-cloud collaborative scenarios. Through the integration of a set updating mechanism, complications arising from interactions with neighboring edge servers are effectively diminished. Simultaneously, a heuristic algorithm was constructed to identify the most viable servers for task offloading purposes. Building on this foundation, a pioneering methodology for image processing task offloading was devised, leveraging fully connected neural network training. Evaluations conducted extensively indicate that the proposed strategy outperforms established benchmarks in terms of efficiency. |
DOI | 10.18280/ts.400403 |
URL | 查看原文 |
收录类别 | sci |
语种 | 英语 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ciomp.ac.cn/handle/181722/67865 |
专题 | 中国科学院长春光学精密机械与物理研究所 |
推荐引用方式 GB/T 7714 | M. Sun, T. Bao, D. Xie, H. Lv and G. Si. A Deep Reinforcement Learning Approach for Efficient Image Processing Task Offloading in Edge-Cloud Collaborative Environments[J]. Traitement Du Signal,2023,40(4):1329-1339. |
APA | M. Sun, T. Bao, D. Xie, H. Lv and G. Si.(2023).A Deep Reinforcement Learning Approach for Efficient Image Processing Task Offloading in Edge-Cloud Collaborative Environments.Traitement Du Signal,40(4),1329-1339. |
MLA | M. Sun, T. Bao, D. Xie, H. Lv and G. Si."A Deep Reinforcement Learning Approach for Efficient Image Processing Task Offloading in Edge-Cloud Collaborative Environments".Traitement Du Signal 40.4(2023):1329-1339. |
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A Deep Reinforcement(1390KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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