分布式存储系统的动态扩展与负载均衡策略研究  

Research on dynamic expansion and load balancing strategy of distributed storage system

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23期190-192,196,共4页

摘　　要：分布式存储系统在现代大数据处理和云计算环境中扮演着关键角色,其扩展性和负载均衡能力直接影响着系统的性能和可靠性。文章针对分布式存储系统的动态扩展与负载均衡策略进行了深入研究,首先分析了分布式存储系统的基本原理及其在扩展过程中的技术挑战;随后探讨了常见的负载均衡算法及其应用场景,重点研究了基于服务质量(QoS)的负载均衡策略在PtBUS系统中的应用,结合动态扩展,提出了协同优化策略。通过对动态扩展与负载均衡的协同优化,系统能够在扩展过程中实现负载的自动均衡,基于性能数据进行动态调整与优化,从而确保在复杂环境下的高效稳定运行。Distributed storage systems play a key role in modern big data processing and cloud computing environments,and their scalability and load balancing capabilities directly affect the performance and reliability of the system.This article conducts in-depth research on the dynamic expansion and load balancing strategies of distributed storage systems.Firstly,the basic principles of distributed storage systems and the technical challenges in the expansion process are analyzed.Subsequently,common load balancing algorithms and their application scenarios were discussed,with a focus on the application of load balancing strategies based on Quality of Service(QoS)in the PtBUS system.Combined with dynamic expansion,a collaborative optimization strategy was proposed.Through collaborative optimization of dynamic expansion and load balancing,the system can achieve automatic load balancing during the expansion process,dynamically adjust and optimize based on performance data,and ensure efficient and stable operation of the system in complex environments.

关 键 词：分布式存储系统 动态扩展 负载均衡 QOS管理 协同优化 

分 类 号：TP333[自动化与计算机技术—计算机系统结构]