计算机科学
分布式计算
边缘计算
工作流程
云计算
调度(生产过程)
软件部署
服务器
边缘设备
工业互联网
作业车间调度
互联网
计算机网络
物联网
操作系统
嵌入式系统
数据库
数学优化
布线(电子设计自动化)
数学
作者
Renchao Xie,Dier Gu,Qinqin Tang,Tao Huang,F. Richard Yu
出处
期刊:IEEE Transactions on Industrial Informatics
[Institute of Electrical and Electronics Engineers]
日期:2023-07-01
卷期号:19 (7): 8242-8252
被引量:4
标识
DOI:10.1109/tii.2022.3217477
摘要
Serverless edge computing is seen as a promising enabler to execute differentiated Industrial Internet of Things (IIoT) applications without managing the underlying servers and clusters. In IIoT serverless edge computing, IIoT workflow scheduling for cloud-edge collaborative processing is closely related to the service quality of users. However, serverless functions decomposed by IIoT applications are limited in their deployment at the edge due to the resource-constrained nature of edge infrastructures. In addition, the scheduling of complex IIoT applications supported by serverless computing is more challenging. Therefore, considering the limited function deployment and the complex dependencies of serverless workflows, we model the workflow application as directed acyclic graph and formulate the scheduling problem as a multiobjective optimization problem. A dueling double deep Q-network-based solution is proposed to make scheduling decisions under dynamically changing systems. Extensive simulation experiments are conducted to validate the superiority of the proposed scheme.
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