FASTEN：迈向容错且存储高效的云：在复制与重复数据删除之间取得平衡
FASTEN: Towards a FAult-tolerant and STorage EfficieNt Cloud: Balancing Between Replication and Deduplication
AI总结：
针对云存储中冗余保障高可用性与重复数据删除节省空间之间的矛盾，提出分布式方案 FASTEN，通过最优分散数据子集实现容错并保持冗余，实验证明其在低成本、审计和去重性能上优于现有系统。
摘要：
随着云存储采用率激增，企业在管理数据重复和指数级数据增长方面面临挑战。重复数据删除可缓解冗余，但保持冗余可确保高可用性，同时产生存储成本。平衡这些方面是一个重要的研究问题。我们提出 FASTEN，这是一种确保效率、安全性和高可用性的分布式云存储方案。FASTEN 通过将数据子集最优地分散到各服务器来实现容错，并为高可用性保持冗余。实验结果表明，FASTEN 在容错、成本降低、批量审计以及文件级和块级重复数据删除方面均有效。它以低时间复杂度、强容错性和值得称道的重复数据删除性能优于现有系统。
英文摘要：
With the surge in cloud storage adoption, enterprises face challenges managing data duplication and exponential data growth. Deduplication mitigates redundancy, yet maintaining redundancy ensures high availability, incurring storage costs. Balancing these aspects is a significant research concern. We propose FASTEN, a distributed cloud storage scheme ensuring efficiency, security, and high availability. FASTEN achieves fault tolerance by dispersing data subsets optimally across servers and maintains redundancy for high availability. Experimental results show FASTEN's effectiveness in fault tolerance, cost reduction, batch auditing, and file and block-level deduplication. It outperforms existing systems with low time complexity, strong fault tolerance, and commendable deduplication performance.
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