.png){kind=icon}
返回
Container-Based Cloud-Edge-Device Collaborative Multi-Service Data Processing in Distribution Network
.png){kind=icon}
PRE
AI
DOI：10.1109/TCE.2023.3344514.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Distribution network of smart grid imposes higher requirement on data processing of next-generation consumer electronics devices. Container-based cloud-edge-device collaboration improves quality of service (QoS) by flexible data offloading and parallel data processing. However, the matching among consumer electronics devices, servers, and containers, and container competition further complicates the problem. In this paper, we propose three-dimensional learning-matching-based joint selection algorithm of server and container for multi-service data processing. The formulated problem is firstly reduced to a two-dimensional problem by combination-based dimension reduction. Then, it is solved by the proposed dynamic learning-matching price rising mechanism based on service priority, data size, and upper confidence bound. By avoiding low-priority service preempting container resources of high-priority service, simulation results validate that the proposed algorithm has superior delay reduction performance.
Keyword:
Servers
Delays
Containers
Data processing
Clouds
Collaboration
Cloud computing
Multi-service data processing of next-generation consumer electronics
container
cloud-edge-device collaboration
machine learning
distribution network
期刊
IF:
10.9
论文数:
5.3K
被引数:
6.8K
机构
引用论文
.png){kind=icon}
Joint Offloading and Resource Allocation Based on UAV-Assisted Mobile Edge Computing基于无人机辅助移动边缘计算的联合卸载与资源分配
PREAI
分享收藏Efficient Live Migration of Edge Services Leveraging Container Layered Storage利用容器分层存储实现边缘服务的高效实时迁移
OAAI
OAAI分享收藏An internet of energy framework with distributed energy resources, prosumers and small-scale virtual power plants: An overview具有分布式能源，消费者和小型虚拟发电厂的能源互联网框架: 概述OAAI
OAAI分享收藏
查看更多内容