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Coding strategies to avoid data loss in cloud storage systems

机译:避免云存储系统中数据丢失的编码策略

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Users that store their data in cloud storage systems want their data to be stored reliably and available every time. Even in case of failures the cloud must be able to serve its clients efficiently. For this purpose some mechanism is required that will provide easy and fast recovery of failed nodes. Many coding methods have been used in different versions of Hadoop's HDFS, HDFS-RAID and XORBAS for popular cloud systems. A study of coding schemes like the triple replication, erasure codes, local reconstruction code, regenerating codes, hybrid and double coding is presented in this paper. These are compared on the basis of storage space required, rate of code, number of nodes required for reconstruction and repair process and repair bandwidth in detail in this paper.
机译:将其数据存储在云存储系统中的用户希望其数据每次都可靠地存储和可用。即使出现故障,云也必须能够有效地为其客户端提供服务。为此,需要某种机制来提供故障节点的轻松快速恢复。在流行的云系统的不同版本的Hadoop HDFS,HDFS-RAID和XORBAS中,已经使用了许多编码方法。对三重复制,擦除码,局部重建码,再生码,混合码和双码等编码方案进行了研究。本文根据所需的存储空间,代码速率,重建和修复过程所需的节点数以及修复带宽进行了比较。

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