Layer-Aware Cost-Effective Container Updates With Edge-Cloud Collaboration in Edge Computing

doi:10.1109/TMC.2025.3583153

科研成果详情

题名	Layer-Aware Cost-Effective Container Updates With Edge-Cloud Collaboration in Edge Computing
作者	Cui，Hanshuai 1,2; Tang，Zhiqing 2,3; Wu，Yuan 4; Jia，Weijia 2,5
发表日期	2025
发表期刊	IEEE Transactions on Mobile Computing
ISSN/eISSN	1536-1233
摘要	Containers have become popular for deploying applications in Edge Computing (EC) for their seamless integration and easy deployment. Frequent container updates are essential to enhance performance and introduce new challenges for cutting-edge applications such as large language models and digital twins. However, traditional container update methods result in substantial download costs and task interruptions, which are unacceptable for latency-sensitive tasks in resource-constrained EC. Existing work has largely overlooked the layered structure of container images. By leveraging this layered structure, duplicate downloads can be reduced, and various layers can be transferred from other edges, reducing burden on the remote cloud. In this paper, we model the layer-aware container update problem with edge-cloud collaboration to minimize update and scheduling costs. We present the Layer-aware Edge-cloud collaborative Container Update (LECU) algorithm based on reinforcement learning to make container update decisions. Moreover, a task scheduling algorithm is devised to schedule tasks affected by container updates to other edges, minimizing the impact of task interruptions. We implement our LECU algorithm on an edge system with real-world data traces to demonstrate its effectiveness and conduct larger-scale simulations to evaluate its scalability. Results demonstrate that our algorithms reduce container update and task scheduling costs by 14% and 19%, respectively, compared to baselines.
关键词	Container update edge computing edge-cloud collaboration layer sharing reinforcement learning
DOI	10.1109/TMC.2025.3583153
URL	查看来源
语种	英语English
Scopus入藏号	2-s2.0-105009746660
引用统计
文献类型	期刊论文
条目标识符	https://repository.uic.edu.cn/handle/39GCC9TT/13725
专题	北师香港浸会大学
通讯作者	Tang，Zhiqing; Jia，Weijia
作者单位	1.Beijing Normal University,School of Artificial Intelligence,Beijing,100875,China 2.Beijing Normal University,Institute of Artificial Intelligence and Future Networks,Zhuhai,519087,China 3.Guangxi Normal University,Guangxi Key Lab of Multi-source Information Mining & Security,Guilin,541004,China 4.University of Macau,State Key Lab of Internet of Things for Smart City,Macao 5.Beijing Normal-Hong Kong Baptist University,Guangdong Key Lab of Ai and Multi-Modal Data Processing,Zhuhai,519087,China
通讯作者单位	北师香港浸会大学
推荐引用方式 GB/T 7714	Cui，Hanshuai,Tang，Zhiqing,Wu，Yuanet al. Layer-Aware Cost-Effective Container Updates With Edge-Cloud Collaboration in Edge Computing[J]. IEEE Transactions on Mobile Computing, 2025.
APA	Cui，Hanshuai, Tang，Zhiqing, Wu，Yuan, & Jia，Weijia. (2025). Layer-Aware Cost-Effective Container Updates With Edge-Cloud Collaboration in Edge Computing. IEEE Transactions on Mobile Computing.
MLA	Cui，Hanshuai,et al."Layer-Aware Cost-Effective Container Updates With Edge-Cloud Collaboration in Edge Computing". IEEE Transactions on Mobile Computing (2025).