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Semantic Cache Replacement Strategy for XML Algebra-Based Query Optimization
  • ISSN号:1001-182X
  • 期刊名称:《工业控制计算机》
  • 时间:0
  • 分类:TP391[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
  • 作者机构:[1]College of Computer Science and Technology, WuhanUniversity of Science and Technology, Wuhan 430065, Hubei,China, [2]Hubei Province Key Laboratory of Intelligent InformationProcessing and Real-time Industrial System, Wuhan 430065,Hubei, China
  • 相关基金:Supported by the National Natural Science Foundation of China(60803160 and 61272110), the Key Projects of National Social Science Foundation of China(11&ZD189), the Natural Science Foundation of Hubei Province(2013CFB334), the Natural Science Foundation of Educational Agency of Hubei Province(Q20101110), the State Key Lab of Software Engineering Open Foundation of Wuhan University(SKLSE2012-09-07) and the Wuhan Key Technology Support Program(2013010602010216) Thanks to Dr. Ying Jianghui of Virginia Tech, Mr. Luo Dan of Baidu and Li Rui for their valuable assistance to modify typos.
中文摘要:

瞄准那传统的缓存代替策略在可扩展的标注语言(XML ) 的进程缺乏恰当到语义缓存的事实代数学质问,代替策略基于语义缓存贡献值被建议。首先,模式匹配为 XML 代数学裁定质问和语义缓存被给。第二,计算语义缓存贡献价值的方法被建议。在有四种不同尺寸的 XML 文件,时间效率的试验性的结果证明这策略支持 XML 代数学质问的环境,它比两个都最少的频率使用的有更好的时间效率(LFU ) 并且最不最近使用(LRU ) 。

英文摘要:

Aiming at the fact that traditional cache replacement strategy lacks pertinence to the semantic cache in the process of extensible markup language (XML) algebra query, a replacement strategy based on the semantic cache contribution value is proposed. First, pattern matching rules for XML algebra query and semantic caches are given. Second, the method of calculating the semantic cache contribution value is proposed. In XML documents with four different sizes, the experimental results of time efficiency show that this strategy supports environment of the XML algebra query and it has better time efficiency than both least frequency used (LFU) and least recently used (LRU).

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期刊信息
  • 《工业控制计算机》
  • 主管单位:江苏省科技厅
  • 主办单位:中国计算机学会工业控制计算机专业委员会 江苏省计算技术研究所有限责任公司
  • 主编:刘建青
  • 地址:南京市龙蟠路173号江苏省计算研究所
  • 邮编:210042
  • 邮箱:ipcm_nj@163.com
  • 电话:025-85411811 85414554
  • 国际标准刊号:ISSN:1001-182X
  • 国内统一刊号:ISSN:32-1764/TP
  • 邮发代号:28-60
  • 获奖情况:
  • 江苏省优秀科技期刊
  • 国内外数据库收录:
  • 被引量:12561