Current fog systems rely on centralized and strongly consistent services for configuration management originally designed for cloud systems. In the geo-distributed fog, such systems can exhibit high communication latency or become unavailable in case of network partition. In this paper, we examine the drawbacks of strong consistency for fog configuration management and propose an alternative based on CRDTs. We prototypically implement our approach for the FReD fog data management platform. Early results show reductions of server response times of up to 50%.

翻译：当前雾计算系统依赖最初为云系统设计的集中式强一致性服务进行配置管理。在地理分布式的雾计算环境中，这类系统可能表现出高通信延迟，或在网络分区的情况下变得不可用。本文研究了强一致性在雾计算配置管理中的缺陷，并提出了一种基于CRDT的替代方案。我们在FReD雾计算数据管理平台上原型化实现了该方法。早期结果表明，服务器响应时间可降低高达50%。