The digital transformation disrupts the various professional domains in different ways, though one aspect is common: the unified platform known as cloud computing. Corporate solutions, IoT systems, analytics, business intelligence, and numerous tools, solutions and systems use cloud computing as a global platform. The migrations to the cloud are increasing, causing it to face new challenges and complexities. One of the essential segments is related to data storage. Data storage on the cloud is neither simplistic nor conventional; rather, it is becoming more and more complex due to the versatility and volume of data. The inspiration of this research is based on the development of a framework that can provide a comprehensive solution for cloud computing storage in terms of replication, and instead of using formal recovery channels, erasure coding has been proposed for this framework, which in the past proved itself as a trustworthy mechanism for the job. The proposed framework provides a hybrid approach to combine the benefits of replication and erasure coding to attain the optimal solution for storage, specifically focused on reliability and recovery. Learning and training mechanisms were developed to provide dynamic structure building in the future and test the data model. RAID architecture is used to formulate different configurations for the experiments. RAID-1 to RAID-6 are divided into two groups, with RAID-1 to 4 in the first group while RAID-5 and 6 are in the second group, further categorized based on FTT, parity, failure range and capacity. Reliability and recovery are evaluated on the rest of the data on the server side, and for the data in transit at the virtual level. The overall results show the significant impact of the proposed hybrid framework on cloud storage performance. RAID-6c at the server side came out as the best configuration for optimal performance. The mirroring for replication using RAID-6 and erasure coding for recovery work in complete coherence provide good results for the current framework while highlighting the interesting and challenging paths for future research

中文翻译：

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云存储管理中提高数据可靠性性能的混合方法

数字化转型以不同的方式颠覆了各个专业领域，尽管有一个方面很常见：称为云计算的统一平台。企业解决方案、物联网系统、分析、商业智能以及众多工具、解决方案和系统使用云计算作为全球平台。向云的迁移正在增加，使其面临新的挑战和复杂性。基本部分之一与数据存储有关。云上的数据存储既不简单也不传统；相反，由于数据的多功能性和海量，它变得越来越复杂。这项研究的灵感是基于开发一个框架，可以在复制方面为云计算存储提供全面的解决方案，而不是使用正式的恢复渠道，已经为这个框架提出了纠删码，过去证明了它是一种值得信赖的工作机制。所提出的框架提供了一种混合方法来结合复制和纠删码的优势，以获得最佳的存储解决方案，特别关注可靠性和恢复。开发了学习和培训机制，以在未来提供动态结构构建并测试数据模型。RAID 架构用于为实验制定不同的配置。RAID-1 到 RAID-6 分为两组，第一组是 RAID-1 到 4，第二组是 RAID-5 和 6，根据 FTT、奇偶校验、故障范围和容量进一步分类。在服务器端的其余数据上评估可靠性和恢复，以及在虚拟级别传输中的数据。总体结果显示了所提出的混合框架对云存储性能的显着影响。服务器端的 RAID-6c 成为实现最佳性能的最佳配置。使用 RAID-6 进行复制的镜像和完全一致的恢复工作的擦除编码为当前框架提供了良好的结果，同时突出了未来研究的有趣和具有挑战性的路径