An asynchronous consistency algorithm in smart manufacturing cloud data centers

Abstract

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.