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一种支持复杂查询的多维云数据管理索引机制 被引量:1

Multi-dimensional Indexing for Complex Query in Cloud Data Management
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摘要 针对当前分布式云数据管理系统的数据索引不支持复杂查询的问题,提出一种支持复杂查询的多维云数据索引机制PR-Chord.PR-Chord由基于PR四叉树的全局索引PR-Index和覆盖网络路由协议Chord组成.将由多维数据的值域所形成的多维空间根据PR四叉树的剖分规则平均划分为若干个超矩形,利用改进的PR四叉树技术建立树形索引PR-Index,分层索引这些超矩形空间.多维数据的复杂查询转化为对PR-Index叶节点的查询.设计了数据查询、插入和删除算法,以支持多维查询和区间查询.PR-Index索引本身不存储多维数据,因此维护代价为零.PR-Chord具有负载均衡、算法简单的优点.实验证明PRChord具有良好的查询效率. To solve themultidimensional query and range query of some cloud data managements,we propose a multidimensional indexing mechanism named PRChord.PR-Chord consists of a global index named PR-Index and the overlay network routing protocol named Chord.PR-Chord divides the multidimensional space formed by the range of multidimensional data into a number of hyper rectangles equally.Based on the improved structure of PR quadtree,PR-Index is the hierarchical index of these hyper rectangular spaces.The complex query of multi-dimensional data is transformed into the query of leaf nodes of PRIndex.Algorithms of data query,insertion and deletionare designed to solve the multidimension query and range query.PR-Index index itself does not store multidimensional data,so the maintenance cost is zero.PR-Chord has the advantages of load balancing and simple algorithm.Experiments show that PRChord has good query efficiency.
出处 《小型微型计算机系统》 CSCD 北大核心 2017年第9期1994-1999,共6页 Journal of Chinese Computer Systems
基金 浙江省社科规划课题成果项目(16NDJC283YB)资助 国家自然科学基金面上项目(61170277 61472256)资助 上海市教委科研创新重点项目(12zz137)资助 上海市一流学科建设项目(S1201YLXK)资助 浙江高校重大人文社科项目攻关计划项目(2014QN015)资助
关键词 云计算 多维数据 多维查询 区间查询 数据索引 一致性哈希 cloud computing multidimensional data multidimensional query interval query data index consistent hash
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