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A TRUST-REPUTATION MODEL OFFERING DATA RETRIEVABILITY AND CORRECTNESS IN DISTRIBUTED STORAGES

机译:分布式存储中提供数据可恢复性和正确性的信任关系模型

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摘要

Distributed storage systems employing dispersal techniques provide retrieval services with a minimal subset of available servers' file shares. Generally, cryptography-based techniques aid data retriev-ability and storage correctness in distributed storages; we propose an equivalent, alternative approach that uses "server trust". Our work makes available, file retrieval and dynamic restoration of corrupted file shares with highest probability. We present a novel trust-reputation model to quantify and manage the trust of servers operating in an untrusted environment; a significant aspect is in quantification of good/bad behaviour of servers in terms of trust index, using analytical expressions. The scheme provides selection of the most reliable, minimal server set for file reconstruction and identification of servers for restoration of corrupted file shares. Singular treatment of incorrect servers, statistical means of server reward/punishment and selection of the minimal set of file shares for reconstruction are the key features of the model. Our scheme achieves the triple goals of availability, retrievability and recover-ability, despite non-crash and crash-stop faults in storage. The model has evolved into a comprehensive system satisfying the triple goals, standard framework and crucial recommendations demanded of such a system. Extensive simulation studies carried out validate the model and its adaptability.
机译:采用分散技术的分布式存储系统为检索服务提供了可用服务器文件共享的最小子集。通常,基于密码术的技术有助于分布式存储中的数据可检索性和存储正确性。我们提出了一种等效的替代方法,即使用“服务器信任”。我们的工作以最高的可能性提供了文件检索和损坏文件共享的动态恢复的功能。我们提出一种新颖的信任信誉模型,以量化和管理在不受信任的环境中运行的服务器的信任;一个重要方面是使用分析表达式根据信任指数量化服务器的好/坏行为。该方案提供了用于文件重建的最可靠,最少服务器集的选择,以及用于恢复损坏的文件共享的服务器标识。该模型的关键特征是对不正确服务器的单数处理,服务器奖励/惩罚的统计方法以及为重建而选择的最小文件共享集的选择。尽管存储中没有发生崩溃和崩溃停止故障,我们的方案仍实现了可用性,可恢复性和可恢复性的三重目标。该模型已经发展成为一个综合系统,可以满足该系统的三重目标,标准框架和关键建议。进行了广泛的仿真研究,验证了该模型及其适应性。

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