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Centralized Repair of Multiple Node Failures with Applications to Communication Efficient Secret Sharing

机译:多节点故障的集中修复及其应用   通信高效的秘密共享

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摘要

This paper considers a distributed storage system, where multiple storagenodes can be reconstructed simultaneously at a centralized location. Thiscentralized multi-node repair (CMR) model is a generalization of regeneratingcodes that allow for bandwidth-efficient repair of a single failed node. Thiswork focuses on the trade-off between the amount of data stored and repairbandwidth in this CMR model. In particular, repair bandwidth bounds are derivedfor the minimum storage multi-node repair (MSMR) and the minimum bandwidthmulti-node repair (MBMR) operating points. The tightness of these bounds areanalyzed via code constructions. The MSMR point is characterized through codesachieving this point under functional repair for general set of CMR parameters,as well as with codes enabling exact repair for certain CMR parameters. TheMBMR point, on the other hand, is characterized with exact repair codes for allCMR parameters for systems that satisfy a certain entropy accumulationproperty. Finally, the model proposed here is utilized for the secret sharingproblem, where the codes for the multi-node repair problem is used to constructcommunication efficient secret sharing schemes with the property of bandwidthefficient share repair.
机译:本文考虑了一个分布式存储系统,其中可以在一个集中位置同时重建多个存储节点。集中式多节点修复(CMR)模型是重新生成代码的概括,可以对单个故障节点进行带宽有效的修复。这项工作的重点是在此CMR模型中存储的数据量和修复带宽之间的权衡。特别是,为最小存储多节点修复(MSMR)和最小带宽多节点修复(MBMR)工作点导出了修复带宽范围。这些边界的紧密度通过代码构造进行分析。 MSMR点的特征在于,通过代码可在功能修复下针对通用CMR参数集实现该点,并具有可对某些CMR参数进行精确修复的代码。另一方面,对于满足一定熵累积特性的系统,MBMR点的特征是具有针对所有CMR参数的精确修复代码。最后,本文提出的模型用于秘密共享问题,其中用于多节点修复问题的代码用于构造具有带宽有效共享修复特性的通信有效的秘密共享方案。

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