一种支持多维区间查询的云对等网络索引架构

针对用户在大规模云对等网络环境下多维区间查询问题,将基于m叉平衡树的索引架构引入到云对等网络环境下,在该架构上实现集中式环境下支持多维数据索引的层次化树结构,如R树、QR树。多维区间查询算法保证查询从树的任意位置开始,避免了根节点引起的系统性能瓶颈问题。通过计算和实验验证,对于Ⅳ个节点的网络,多维区间查询效率为O(logN)(m〉2)(m表示扇出)。由此可见,查询效率与维数d无关,查询效率不会随着维数d的增加而降低。最后建立基于扇出m的代价模型,并且计算出了最优的m值。...

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Published in计算机应用研究 Vol. 33; no. 8; pp. 2470 - 2474
Main Author 刘京燕 陈世平
Format Journal Article
LanguageChinese
Published 上海理工大学 光电信息与计算机工程学院,上海,200093%上海理工大学 信息化办公室,上海,200093 2016
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ISSN1001-3695
DOI10.3969/j.issn.1001-3695.2016.08.051

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Abstract 针对用户在大规模云对等网络环境下多维区间查询问题,将基于m叉平衡树的索引架构引入到云对等网络环境下,在该架构上实现集中式环境下支持多维数据索引的层次化树结构,如R树、QR树。多维区间查询算法保证查询从树的任意位置开始,避免了根节点引起的系统性能瓶颈问题。通过计算和实验验证,对于Ⅳ个节点的网络,多维区间查询效率为O(logN)(m〉2)(m表示扇出)。由此可见,查询效率与维数d无关,查询效率不会随着维数d的增加而降低。最后建立基于扇出m的代价模型,并且计算出了最优的m值。
AbstractList TN915.02; 针对用户在大规模云对等网络环境下多维区间查询问题,将基于 m 叉平衡树的索引架构引入到云对等网络环境下,在该架构上实现集中式环境下支持多维数据索引的层次化树结构,如 R 树、QR 树。多维区间查询算法保证查询从树的任意位置开始,避免了根节点引起的系统性能瓶颈问题。通过计算和实验验证,对于 N个节点的网络,多维区间查询效率为 O(logm N)(m >2)(m 表示扇出)。由此可见,查询效率与维数 d 无关,查询效率不会随着维数 d 的增加而降低。最后建立基于扇出 m 的代价模型,并且计算出了最优的 m 值。
针对用户在大规模云对等网络环境下多维区间查询问题,将基于m叉平衡树的索引架构引入到云对等网络环境下,在该架构上实现集中式环境下支持多维数据索引的层次化树结构,如R树、QR树。多维区间查询算法保证查询从树的任意位置开始,避免了根节点引起的系统性能瓶颈问题。通过计算和实验验证,对于Ⅳ个节点的网络,多维区间查询效率为O(logN)(m〉2)(m表示扇出)。由此可见,查询效率与维数d无关,查询效率不会随着维数d的增加而降低。最后建立基于扇出m的代价模型,并且计算出了最优的m值。
Abstract_FL This paper introduced index framework which based on m-ary balanced tree (m is fanout of tree,m >2)in order to solve multidimensional range query in large-scale cloud peer-to-peer network.It could support any kind of multidimensional data indexing hierarchical tree structure such as R-tree,QR-tree.This paper designed search algorithms which could start from any node,thus avoiding system performance bottleneck problem introduced by the root node.Calculation and experiments show that multidimensional range query efficiency limit to O(logm N)(m >2)hops in a network with N nodes.It improves search performance of multidimensional range query independent of the dimension.The query efficiency can not reduce with the increase of dimension.It also proposed cost module based on m,and then calculated the optimal value of m.
Author 刘京燕 陈世平
AuthorAffiliation 上海理工大学光电信息与计算机工程学院,上海200093 上海理工大学信息化办公室,上海200093
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Author_FL Chen Shiping
Liu Jingyan
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DocumentTitleAlternate Cloud P2P network index framework for supporting multidimensional range query
DocumentTitle_FL Cloud P2P network index framework for supporting multidimensional range query
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Issue 8
Keywords m 叉平衡树
索引架构
多维区间查询
query ef-ficiency
对等网络
查询效率
m-ary balanced tree
multidimensional range query
cloud computing
云计算
peer-to-peer
index framework
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Notes 51-1196/TP
peer-to-peer; cloud computing; multidimensional range query; index framework; m-ary balanced tree; query ef-ficiency
Liu Jingyan,Chen Shiping ( a. School of Optical-Electrical & Computer Engineering, b. Information Office, University of Shanghai for Science & Technology, Shanghai 200093, China)
This paper introduced index framework which based on m-ary balanced tree ( m is fanout of tree, m 〉 2) in order to solve multidimensional range query in large-scale cloud peer-to-peer network. It could support any kind of multidimensional data indexing hierarchical tree structure such as R-tree, QR-tree. This paper designed search algorithms which could start from any node, thus avoiding system performance bottleneck problem introduced by the root node. Calculation and experiments show that multidimensional range query efficiency limit to O (logmN) (m 〉 2 )hops in a network with N nodes. It improves search performance of multidimensional range query independent of the dimension. The query efficiency can not red
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Publisher 上海理工大学 光电信息与计算机工程学院,上海,200093%上海理工大学 信息化办公室,上海,200093
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Snippet 针对用户在大规模云对等网络环境下多维区间查询问题,将基于m叉平衡树的索引架构引入到云对等网络环境下,在该架构上实现集中式环境下支持多维数据索引的层次化树结构,...
TN915.02; 针对用户在大规模云对等网络环境下多维区间查询问题,将基于 m 叉平衡树的索引架构引入到云对等网络环境下,在该架构上实现集中式环境下支持多维数据索引的层次...
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SubjectTerms m叉平衡树
云计算
多维区间查询
对等网络
查询效率
索引架构
Title 一种支持多维区间查询的云对等网络索引架构
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