An AI-driven Dockerized Lightweight Framework for Smart Home Service Orchestration

被引：0

作者：

Wang, Zhaoning ^{[1
]}

Zhu, Jiajia ^{[1
]}

Cheng, Bo ^{[2
]}

Cheng, Xinzhou ^{[1
]}

Lyu, Feibi ^{[1
]}

Xu, Guoping ^{[1
]}

Qiao, Jinjian ^{[1
]}

Zhi, Lu ^{[1
]}

Xiao, Tian ^{[1
]}

机构：

[1] China Unicom Res Inst, Beijing, Peoples R China

[2] Beijing Univ Posts & Telecommun, Beijing, Peoples R China

来源：

2023 IEEE 22ND INTERNATIONAL CONFERENCE ON TRUST, SECURITY AND PRIVACY IN COMPUTING AND COMMUNICATIONS, TRUSTCOM, BIGDATASE, CSE, EUC, ISCI 2023 | 2024年

关键词：

Smart home; micro service; goal-driven; THINGS; INTERNET;

D O I：

10.1109/TrustCom60117.2023.00295

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We are going to enter the most intelligent era than ever before. Intelligent electronics network is infiltrating into our life and making it more convenient. Nonetheless, users always want smart home be more intelligent and complete more features. users' issues are endless. Modular packaging device services and effective choreography algorithms can flexible fit different issues. Many organizations have been proving, implementing and managing business solutions for many specific individual industries. However, when comes to smart home for end users, there are numerous limitations in process, tooling, and skills. In the paper, we provide a lightweight visualized service creating tool and an AI-driven service flow construction model. It helps end users to create services though drag-and-drop, and then deploy new services automatically. And in the end a case study will be introduced.

引用

页码：2122 / 2127

页数：6