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ON THE COMMUNICATION COST OF MDS ERASURE CODES IN DISTRIBUTED STORAGE SYSTEMS

机译:分布式存储系统中MDS擦除码的通信成本研究

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Distributed storage systems store some redundant data to keep the degree of availability of the stored data constant and also to increase the system's resistance against failures. This type of systems usually use pure replication or methods based on RAID systems as redundancy schemes. In this paper, we study the communication cost of a distributed data storage system using Maximum Distance Separable (MDS) erasure codes. Our focus is reduction of the cost of one-to-many communication used in data reconstruction/repair initialization and update operations. We propose the use of two different communication approaches on the area of distributed storage systems for the above operations; Steiner tree approach and multi-shortest path approach. We also analyse these two communication approaches empirically and theoretically. Our theoretical results indicate that Steiner tree approach has lower message usage, whereas, multi-shortest path approach has lower time usage for data reconstruction/repair initialization operations. On the other hand, Steiner tree approach has better message and time metrics for the data update process. Furthermore, our experimental results support these theoretical results. Thus, users can choose between the two approaches depending on their needs and priorities.
机译:分布式存储系统存储一些冗余数据,以保持存储数据的可用性恒定,并提高系统的抗故障能力。这种类型的系统通常使用纯复制或基于RAID系统的方法作为冗余方案。在本文中,我们使用最大距离可分离(MDS)擦除代码研究分布式数据存储系统的通信成本。我们的重点是降低用于数据重建/修复初始化和更新操作的一对多通信的成本。对于以上操作,我们建议在分布式存储系统区域中使用两种不同的通信方法。 Steiner树方法和多最短路径方法。我们还从经验和理论上分析了这两种交流方式。我们的理论结果表明,斯坦纳树方法的消息使用率较低,而多最短路径方法的数据重建/修复初始化操作的时间使用率较低。另一方面,Steiner树方法在数据更新过程中具有更好的消息和时间度量。此外,我们的实验结果支持了这些理论结果。因此,用户可以根据自己的需求和优先级在两种方法之间进行选择。

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