HPPHM:new policy of store for multidimensional dataset of parallel I/O and research of retrieve performance
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HPPHM:new policy of store for multidimensional dataset of parallel I/O and research of retrieve performance
Issue 4, Pages: 57-64(2007)
作者机构:
中南大学信息科学与工程学院 2. 华南师范大学南海校区计算机系
作者简介:
基金信息:
DOI:
CLC:TP333
Published:2007
稿件说明:
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CHEN Zhi-gang1, ZENG Bi-qing2. HPPHM:new policy of store for multidimensional dataset of parallel I/O and research of retrieve performance[J]. 2007, (4): 57-64.
DOI:
CHEN Zhi-gang1, ZENG Bi-qing2. HPPHM:new policy of store for multidimensional dataset of parallel I/O and research of retrieve performance[J]. 2007, (4): 57-64.DOI:
HPPHM:new policy of store for multidimensional dataset of parallel I/O and research of retrieve performance
摘要
针对大型多维数据集合中数据存储访问效率较低的缺陷而进行了相应的研究
通过采用并行I/O技术
将多维数据在分布式系统的多个磁盘之间进行分布存储
通过循环拆分法将已有的数据从适用于二维数据扩展到了多维数据中
并通过对循环法进行理论分析
对多维数据存储访问进行研究
提出了一种新的启发式多维数据循环策略
即基于访问步长值Hi与访问长度M互质的启发式策略(HPPHM)
实验表明了新算法在并行度和顽健性等性能方面都具有优越性。
Abstract
The policy of store and retrieve for large-scale multidimensional dataset was researched.The multidimensional dataset was allocated in the multi-disks among the distributed processing system by using the parallel I/O technology.A new multidimensional data cyclic declustering policy was proposed aiming to data retrieve based on scope by extending existing cyclic policy to multidimensional dataset from adapting to two-dimension
and by using theory analysis on the present method
a new heuristic multidimensional data retrieve policy named HPPHM was proposed.The experimental result has demonstrated the efficiency of new strategy not only in parallel degree but also in robust.