数字通信世界2024,Issue(5) :12-14,35.DOI:10.3969/J.ISSN.1672-7274.2024.05.005

云原生存储无损扩容算法研究

Research on Lossless Expansion Algorithm for Cloud Native Storage

蔡旭辉 董晓荔 丁蔚然 陈曦 郑卿
数字通信世界2024,Issue(5) :12-14,35.DOI:10.3969/J.ISSN.1672-7274.2024.05.005

云原生存储无损扩容算法研究

Research on Lossless Expansion Algorithm for Cloud Native Storage

蔡旭辉 1董晓荔 1丁蔚然 1陈曦 1郑卿1
扫码查看

作者信息

  • 1. 中国移动通信集团有限公司,北京 100032
  • 折叠

摘要

分布式存储是多云数据中心的重要产品.云原生应用迭代周期缩短,对存储的容量和调整速度也有了更高的要求.目前,云原生存储因其自身架构的高可扩展性、健壮性和高性能等优点已占领主流市场,但集群扩缩容导致存储池长期处于数据迁移状态,引发了性能耗损高、集群表现不稳定等影响业务体验的问题.针对这些问题,该文提出一种优化算法,增加逻辑标签机制动态映射存储路径到物理介质,使得增量数据在扩容的存储介质落盘,避免大批量的数据迁移,让云原生存储可以在扩缩容场景下降低性能损耗和集群不稳定的概率.

Abstract

Distributed storage is a common and important product in multi-cloud data centers.In the cloud native era,the application iteration cycle is shortened,and the storage capacity and adjustment speed are also higher requirements.Cloud-native storage occupies the mainstream market due to its high scalability,robustness,and high performance of its architecture.However,cluster expansion and shrinkage lead to long-term data migration in the storage pool,leading to high performance loss,unstable cluster performance and other problems affecting business experience.This paper proposes an optimization algorithm by adding a logical label mechanism to dynamically map storage paths to physical media.In this way,incremental data can be dumped onto the expanded storage medium,avoiding mass data migration,and reducing the performance loss and cluster instability probability of the cloud native storage in the expansion or reduction scenario.

关键词

CRUSH/选择器/云原生存储

Key words

CRUSH/selector/cloud-native storage

引用本文复制引用

出版年

2024
数字通信世界
电子工业出版社

数字通信世界

影响因子:0.162
ISSN:1672-7274
参考文献量2
段落导航相关论文