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A Storage Architecture of Blockchain for Time-Series Data

机译:用于时间序列数据的区块链的存储架构

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摘要

The blockchain technology is becoming more and more important in different areas. However, it is not suitable for storing time-series data because of its rapid growth. This paper starts from the traditional storage model of the blockchain and proposes a novel storage architecture intended for time-series data. Some implementation details are given as well. The system mainly includes three modules: block storage, index storage and time-series data storage. The time-series database is used as the basic storage tool so it can fully utilize the corresponding feature such as elasticity, automation, efficiency, etc. By proper parameter configuration, the system can retain data within a certain time window, automatically clear expired blocks, free up storage space for dynamic growth, and provide data aggregation statistics that can be directly applied to data analysis systems. Therefore, it's more suitable for time-series data in some areas.
机译:区块链技术在不同领域变得越来越重要。但是,由于其快速增长,它不适合存储时间序列数据。本文从区块链的传统存储模型开始,提出了一种用于时间序列数据的新型存储体系结构。还提供了一些实施细节。该系统主要包括三个模块:块存储,索引存储和时间序列数据存储。时间序列数据库用作基本存储工具,因此它可以通过适当的参数配置充分利用弹性,自动化,效率等等相应功能,系统可以在特定时间窗口内保留数据,自动清除过期块,释放动态增长的存储空间,并提供可以直接应用于数据分析系统的数据聚合统计信息。因此,它更适合某些区域的时间序列数据。

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