摘 要
随着云计算技术的迅猛发展，基于云平台的数据库系统面临着网络故障带来的严峻挑战。本研究旨在探讨并提出一种有效的弹性恢复策略，以确保在网络故障发生时，云数据库系统能够快速、稳定地恢复其功能和服务质量。通过分析现有云数据库架构及网络故障特征，结合容错理论与分布式计算原理，提出了一种基于多副本冗余和智能路由切换的弹性恢复机制。该机制能够在检测到网络故障后的短时间内，自动选择最优路径进行数据传输，并利用预存的数据副本实现服务的无缝切换。实验结果表明，在模拟不同类型的网络故障场景下，所提出的策略能够将平均恢复时间缩短30%以上，同时保持较高的数据一致性和完整性。此外，该策略还引入了自适应调整模块，可根据实际网络状况动态优化参数配置，进一步提升了系统的鲁棒性。
关键词：云数据库 弹性恢复 网络故障
Abstract
With the rapid development of cloud computing technology, the database system based on cloud platform faces the severe challenges brought by network failure. This study aims to explore and propose an effective elastic recovery strategy to ensure that the cloud database system can quickly and stably recover its function and quality of service when network failure occur. By analyzing the existing cloud database architecture and network fault characteristics, combining with fault tolerance theory and distributed computing principle, an elastic recovery mechanism based on multi-copy redundancy and intelligent routing switching is proposed. This mechanism can automatically select the optimal path for data transmission in a short time after detecting network failure, and use the pre-stored data copy. The experimental results show that the proposed strategy can shorten the average recovery time by more than 30%, while maintaining high data consistency and completeness. In addition, this strategy also introduces an adaptive adjustment module, which can dynamically optimize the parameter configuration according to the actual network condition, and further improve the robustness of the system.
Keyword:Cloud Database Elastic Recovery Network Failure
目 录
1绪论 1
1.1研究背景与意义 1
1.2国内外研究现状 1
1.3研究方法与技术路线 2
2云计算数据库系统的故障特征分析 2
2.1网络故障类型及其影响 2
2.2故障传播机制研究 3
2.3故障检测与定位技术 3
3弹性恢复策略的设计与实现 4
3.1恢复策略的总体框架 4
3.2数据冗余与备份机制 5
3.3动态资源调度方案 5
4弹性恢复策略的性能评估 6
4.1评估指标体系构建 6
4.2实验环境与测试方法 7
4.3结果分析与讨论 7
结论 8
参考文献 9
致谢 10
随着云计算技术的迅猛发展，基于云平台的数据库系统面临着网络故障带来的严峻挑战。本研究旨在探讨并提出一种有效的弹性恢复策略，以确保在网络故障发生时，云数据库系统能够快速、稳定地恢复其功能和服务质量。通过分析现有云数据库架构及网络故障特征，结合容错理论与分布式计算原理，提出了一种基于多副本冗余和智能路由切换的弹性恢复机制。该机制能够在检测到网络故障后的短时间内，自动选择最优路径进行数据传输，并利用预存的数据副本实现服务的无缝切换。实验结果表明，在模拟不同类型的网络故障场景下，所提出的策略能够将平均恢复时间缩短30%以上，同时保持较高的数据一致性和完整性。此外，该策略还引入了自适应调整模块，可根据实际网络状况动态优化参数配置，进一步提升了系统的鲁棒性。
关键词：云数据库 弹性恢复 网络故障
Abstract
With the rapid development of cloud computing technology, the database system based on cloud platform faces the severe challenges brought by network failure. This study aims to explore and propose an effective elastic recovery strategy to ensure that the cloud database system can quickly and stably recover its function and quality of service when network failure occur. By analyzing the existing cloud database architecture and network fault characteristics, combining with fault tolerance theory and distributed computing principle, an elastic recovery mechanism based on multi-copy redundancy and intelligent routing switching is proposed. This mechanism can automatically select the optimal path for data transmission in a short time after detecting network failure, and use the pre-stored data copy. The experimental results show that the proposed strategy can shorten the average recovery time by more than 30%, while maintaining high data consistency and completeness. In addition, this strategy also introduces an adaptive adjustment module, which can dynamically optimize the parameter configuration according to the actual network condition, and further improve the robustness of the system.
Keyword:Cloud Database Elastic Recovery Network Failure
目 录
1绪论 1
1.1研究背景与意义 1
1.2国内外研究现状 1
1.3研究方法与技术路线 2
2云计算数据库系统的故障特征分析 2
2.1网络故障类型及其影响 2
2.2故障传播机制研究 3
2.3故障检测与定位技术 3
3弹性恢复策略的设计与实现 4
3.1恢复策略的总体框架 4
3.2数据冗余与备份机制 5
3.3动态资源调度方案 5
4弹性恢复策略的性能评估 6
4.1评估指标体系构建 6
4.2实验环境与测试方法 7
4.3结果分析与讨论 7
结论 8
参考文献 9
致谢 10
