Adding Capacity-Aware Storage Indirection to Homogeneous Distributed Hash Tables

P. Wette, Kalman Graffi
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引用次数: 8

Abstract

Distributed hash tables are very versatile to use, as distributed storage is a desirable feature for various applications. Typical structured overlays like Chord, Pastry or Kademlia consider only homogeneous nodes with equal capacities, which does not resemble reality. In a practical use case, nodes might get overloaded by storing popular data. In this paper, we present a general approach to enable capacity awareness and load-balancing capability of homogeneous structured overlays. We introduce a hierarchical second structured overlay aside, which allows efficient capacity-based access on the nodes in the system as hosting mirrors. Simulation results show that the structured overlay is able to store various contents, such as of a social network, with only a negligible number of overloaded peers. Content, even if very popular, is hosted by easily findable capable peers. Thus, long-existing and well-evaluated overlays like Chord or Pastry can be used to create attractive DHT-based applications.
在同构分布式哈希表中增加容量感知存储间接
分布式哈希表的用途非常广泛,因为分布式存储是各种应用程序所需的特性。典型的结构化叠加,如Chord、Pastry或Kademlia,只考虑具有同等容量的同构节点,这与现实并不相似。在实际用例中,节点可能会因为存储流行数据而超载。在本文中,我们提出了一种通用的方法来实现同构结构覆盖的容量感知和负载平衡能力。我们引入了一个分层的二级结构化覆盖层,它允许对系统中的节点作为托管镜像进行有效的基于容量的访问。仿真结果表明,该结构覆盖能够存储各种内容,例如社交网络的内容,而过载的对等节点数量可以忽略不计。内容,即使非常受欢迎,也是由容易找到的有能力的同伴托管的。因此,像Chord或Pastry这样存在已久且评估良好的覆盖层可用于创建有吸引力的基于dht的应用程序。
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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