DHT overlay schemes for scalable p-range resource discovery

Liping Chen, K. Candan, J. Tatemura, D. Agrawal, D. Cavendish
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Abstract

The information service is a critical component of a grid infrastructure for resource discovery. Although P2P computing paradigm could address some of the scalability issues that plagued grid resource discovery, most existing distributed hash table (DHT) based P2P overlays have difficulty in treating attribute range queries that are common in resource discovery lookups due to the inherent randomness of hash functions. Recently, there have been various attempts to solve the range search problem over DHT networks [Aberer, et al. (2003), Gao and Steenkiste (2004), Ratnasamy, et al. (2003), and Tanin, et al. (2005)]. Central to all of these is a mapping scheme which maps the tree-structured logical index space to some DHT-based physical node space. In this paper, we propose a general framework to put all these under the same umbrella based on how mapping of the tree-structured index that identifies a physical node responsible of a particular range is done through replication. We identify three schemes which should cover the spectrum of all meaningful replication schemes: the tree replication scheme (TRS) replicates the entire tree; the path caching scheme (PCS) replicates paths from root to leaves; and the node replication scheme (NRS) replicates individual logical nodes.
可扩展p-range资源发现的DHT覆盖方案
信息服务是用于资源发现的网格基础设施的关键组件。尽管P2P计算范式可以解决困扰网格资源发现的一些可伸缩性问题,但由于哈希函数固有的随机性,大多数现有的基于分布式哈希表(DHT)的P2P覆盖在处理资源发现查找中常见的属性范围查询方面存在困难。最近,已经有各种尝试来解决DHT网络上的范围搜索问题[Aberer等(2003),Gao和Steenkiste (2004), Ratnasamy等(2003)和Tanin等(2005)]。所有这些的核心是一个映射方案,它将树结构的逻辑索引空间映射到一些基于dht的物理节点空间。在本文中,我们提出了一个通用框架,将所有这些都放在同一个保护伞下,该框架基于如何通过复制来映射树结构索引,该索引标识负责特定范围的物理节点。我们确定了三种方案,它们应该涵盖所有有意义的复制方案的频谱:树复制方案(TRS)复制整个树;路径缓存方案(PCS)复制从根到叶的路径;节点复制方案(NRS)复制单个逻辑节点。
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