基于大数据与云计算环境的分布式存储系统设计  

Design of distributed storage system based on big data and cloud computing environment

作　　者：顾飞舟 GU Feizhou(Nanjing Putian Communication Co.,Ltd.,Nanjing 211100,China)

机构地区：[1]南京普天通信股份有限公司,南京211100

出　　处：《计算机应用文摘》2024年第24期113-116,共4页

摘　　要：在大数据和云计算环境下,传统集中式存储系统已无法满足日益增长的数据存储需求。而分布式存储系统具有较高的扩展性、弹性和容错性,成为应对这些挑战的关键技术之一。基于南京普天通信股份有限公司开发的PtBUS分布式存储系统,文章探讨了分布式存储系统的设计与实现,首先分析了大数据和云计算环境对存储系统提出的挑战,接着介绍了PtBUS系统的架构设计(包括无中心节点设计和横向扩展能力等关键特性),详细分析了系统在数据一致性、高可用性、扩展性、负载均衡及数据安全等方面的挑战与解决方案。通过对PtBUS的深入探讨,揭示了分布式存储系统在大数据与云计算环境中的应用潜力和发展方向。In the context of big data and cloud computing,traditional centralized storage systems are no longer able to meet the growing demand for data storage.Distributed storage systems have high scalability,elasticity,and fault tolerance,making them one of the key technologies to address these challenges.Based on the PtBUS distributed storage system developed by Nanjing Putian Communication Co.,Ltd.,this article explores the design and implementation of a distributed storage system.Firstly,the challenges posed by big data and cloud computing environments to the storage system are analyzed.Then,the architecture design of the PtBUS system(including key features such as no central node design and horizontal scalability)is introduced,and the challenges and solutions of the system in terms of data consistency,high availability,scalability,load balancing,and data security are analyzed in detail.Through in-depth exploration of PtBUS,the potential and development direction of distributed storage systems in big data and cloud computing environments have been revealed.

关 键 词：分布式存储系统 大数据 云计算 软件定义存储 PtBUS 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]