Open AccessAn asynchronous consistency algorithm in smart manufacturing cloud data centers
Author(s) -
Yang Lu,
Zheng Yan,
Weipeng Jing,
Chengyu Xu,
Li Yan
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2206/1/012020
Subject(s) - asynchronous communication , cloud computing , computer science , consistency (knowledge bases) , factory (object oriented programming) , synchronization (alternating current) , algorithm , production (economics) , distributed computing , stability (learning theory) , data consistency , real time computing , computer network , artificial intelligence , operating system , machine learning , channel (broadcasting) , economics , macroeconomics , programming language
In the smart manufacturing factory, the fresh real-time datas and multiple replications are important for numerically-controlled machine tools. The production datas are stored in distributed cloud data centers (CDCs), so the communication latencies produced by data synchronization may impair the machining performance. In this paper, an asynchronous consistency algorithm (ACA) which is inspired by the nearest infection is proposed to reduce the communication latencies between nodes. The experimental results demonstrate that the proposed algorithm can support lower client-side latencies and increase data stability, thereby improving the production efficiency.