Subnetworks in BlockDAG

Oleksandr Antonenko, S. Grybniak, Denis Guzey, Oleksandr Nashyvan, Ruslan Shanin
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Abstract

In the article, we study the horizontal scaling of the Waterfall or similar blockDAG networks by partitioning them into subnetworks by applying hierarchical and graph-based clustering algorithms. It leads to the reducing the network load and, in addition, to the increasing of the potential performance parameters of the underlying protocol. We consider methods of topology construction, propose clustering algorithms, and perform a simulation of a network partitioning into subnetworks.
在本文中,我们研究了瀑布或类似的blockDAG网络的水平缩放,通过应用分层和基于图的聚类算法将它们划分为子网络。这不仅减少了网络负载,而且增加了底层协议的潜在性能参数。我们考虑了拓扑结构的方法,提出了聚类算法,并进行了网络划分到子网的模拟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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