CIOMP OpenIR
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
ISSN0765-0019
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.
DOI10.18280/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.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
A Deep Reinforcement(1390KB)期刊论文出版稿开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[M. Sun, T. Bao, D. Xie, H. Lv and G. Si]的文章
百度学术
百度学术中相似的文章
[M. Sun, T. Bao, D. Xie, H. Lv and G. Si]的文章
必应学术
必应学术中相似的文章
[M. Sun, T. Bao, D. Xie, H. Lv and G. Si]的文章
相关权益政策
暂无数据
收藏/分享
文件名: A Deep Reinforcement Learning Approach for Efficient Image Processing Task Offloading in Edge-Cloud Collaborative Environments.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。