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DHT overlay schemes for scalable p-range resource discovery

机译:可扩展的P系列资源发现的DHT覆盖计划

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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.
机译:信息服务是资源发现的网格基础架构的关键组件。虽然P2P计算范例可以解决困扰网格资源发现的一些可扩展性问题,但是由于哈希函数固有的随机性,基于大多数现有的分布式哈希表(DHT)的P2P叠加难以处理资源发现查找中常见的属性范围查询。最近,在DHT网络上有各种各样的尝试解决范围搜索问题[Aberer等人。 (2003),高达斯蒂斯特(2004年),Ratnasamy等人。 (2003)和Tanin,等人。 (2005)]。所有这些都是映射方案,它将树结构逻辑索引空间映射到基于DHT的物理节点空间。在本文中,我们提出了一个总体框架,将所有这些放在同一个伞下,根据树结构索引的映射如何通过复制完成负责特定范围的物理节点的映射。我们确定了三个方案,应涵盖所有有意义复制方案的频谱:树复制方案(TRS)复制整个树;路径缓存方案(PC)将从根到叶子的路径复制;并且节点复制方案(NRS)复制各个逻辑节点。

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