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Patterned Erasure Correcting Codes for Low Storage-Overhead Blockchain Systems

机译:低存储开销的区块链系统的图案化纠删码

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Traditionally in blockchain systems, the sequence of transactions acts as a decentralized ledger where each node in the network is required to store an identical copy. As a result, the storage space required to store the entire blockchain can become prohibitively large. Erasure coding and network coding techniques were previously introduced to mitigate this storage burden. In this work, we first observe that node failures in the network can occur periodically. Next, we take advantage of this property to develop a coding scheme which corrects a predefined set of possible node erasure patterns. By explicitly focusing on certain erasure patterns, proposed codes have lower storage requirements than erasure codes which correct all possible erasure patterns, and moreover, our codes achieve the minimum average storage per node under the given assumptions.
机译:传统上,在区块链系统中,交易序列充当分散账本,网络中的每个节点都需要存储相同的副本。结果,存储整个区块链所需的存储空间可能会变得过大。先前已经引入了纠删编码和网络编码技术来减轻这种存储负担。在这项工作中,我们首先观察到网络中的节点故障可能会定期发生。接下来,我们利用此属性来开发一种编码方案,该方案可以校正可能的节点擦除模式的预定义集。通过明确地专注于某些擦除模式,与纠正所有可能擦除模式的擦除代码相比,所提出的代码具有更低的存储要求,而且,在给定的假设下,我们的代码实现了每个节点的最小平均存储。

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