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Decentralization of a Multi Data Source Distributed Processing System Using a Distributed Hash Table

机译:使用分布式哈希表分散多数据源分布式处理系统

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A distributed processing system (DPS) contains many autonomous nodes, which contribute their own computing power. DPS is considered a unified logical structure, operating in a distributed manner; the processing tasks are divided into fragments and assigned to various nodes for processing. That type of operation requires and involves a great deal of communication. We propose to use the decentralized approach, based on a distributed hash table, to reduce the communication overhead and remove the server unit, thus avoiding having a single point of failure in the system. This paper proposes a mathematical model and algorithms that are implemented in a dedicated experimental system. Using the decentralized approach, this study demonstrates the efficient operation of a decentralized system which results in a reduced energy emission.
机译:分布式处理系统(DPS)包含许多自治节点,它们贡献了自己的计算能力。 DPS被认为是统一的逻辑结构,以分布式方式运行。处理任务分为多个片段,并分配给各个节点进行处理。这种类型的操作需要并且涉及大量的交流。我们建议使用基于分布式哈希表的分散方法来减少通信开销并删除服务器单元,从而避免系统中出现单点故障。本文提出了在专用实验系统中实现的数学模型和算法。使用分散方法,本研究证明了分散系统的有效运行,从而降低了能源排放。

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