With the rapid development of mobile Internet, there is a higher demand for the real-time, reliability and availability of information systems and to prevent the possible systemic risks of information systems, various business consistency standards and regulatory guidelines have been published, such as Recovery Time Object (RTO) and Recovery Point Object (RPO). Some of the current related researches focus on the standards, methods, management tools and technical frameworks of business consistency, while others study the data consistency algorithms in the cases of large data, cloud computing and distributed storage. However, few researchers have studied on how to monitor the data consistency and RPO of production-disaster recovery, and what architecture and technology should be applied in the monitoring. Moreover, in some information systems, due to the complex structures and distributions of data, it is difficult for traditional methods to quickly detect and accurately locate the first error data. Besides, due to the separation of production data center (PDC) and disaster recovery data center (DRDC), it is difficult to calculate the data difference and RPO between the two centers. This paper first discusses the architecture of remote distributed DRDCs. The architecture can make the disaster recovery (DR) system always online and the data always readable, and support the real-time monitoring of data availability, consistency as well as other related indicators, in this way to make DRDC out-of-the-box in disasters. Second, inspired by blockchain, this paper proposes a method to realize real-time monitoring of data consistency and RTO by building hash chains for PDC and DRDC. Third, this paper evaluates the hash chain operations from the algorithm time complexity, the data consistency, and the validity of RPO monitoring algorithms and since DR system is actually a kind of distributed system, the proposed approach can also be applied to the data consistency detection and data difference monitoring in other distributed systems.

中文翻译：

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一种新的基于哈希链的异地容灾架构数据可用性监控方法

随着移动互联网的快速发展，对信息系统的实时性、可靠性和可用性提出了更高的要求，为防范信息系统可能出现的系统性风险，各种业务一致性标准和监管指南相继出台，如Recovery时间对象 (RTO) 和恢复点对象 (RPO)。当前相关研究有的集中在业务一致性的标准、方法、管理工具和技术框架，有的研究大数据、云计算、分布式存储等情况下的数据一致性算法。然而，很少有研究人员研究过如何监控生产容灾恢复的数据一致性和RPO，以及在监控中应该应用什么架构和技术。此外，在一些信息系统中，由于数据结构和分布复杂，传统方法难以快速检测和准确定位第一个错误数据。此外，由于生产数据中心（PDC）和灾难恢复数据中心（DRDC）的分离，很难计算两个中心之间的数据差异和RPO。本文首先讨论了远程分布式 DRDC 的架构。该架构可以使容灾（DR）系统始终在线，数据始终可读，并支持对数据可用性、一致性等相关指标的实时监控，从而使DRDC脱颖而出。灾难中的盒子。其次，受区块链启发，本文提出了一种通过为PDC和DRDC构建哈希链来实现数据一致性和RTO实时监控的方法。第三，