| 支持向量机在数据库负载自动识别中的应用 |
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| 引用本文： | 孙绪才.支持向量机在数据库负载自动识别中的应用[J].潍坊学院学报,2008,8(6). |
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| 作者姓名： | 孙绪才 |
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| 作者单位： | 潍坊学院,山东,潍坊,261061 |
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| 摘 要： | 对数据库进行调整与优化时，负载的类型是要考虑的一个关键因素。不同的负载类型（联机事务处理OLTP和联机分析处理OLAP），意味着不同的资源分配策略。在系统运行中，负载的类型是经常变化的。把基于支持向量机的分类模型用于数据库负载类型的自动识别中，实验结果表明，该分类模型是可行的，达到了令人满意的准确度以及关于负载识别的四个特殊要求。
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| 关 键 词： | 自管理数据库 负载自动识别 支持向量机 |
Application of Support Vector Machine to Automatic Recognition of Database Load |
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| SUN Xu-cai.Application of Support Vector Machine to Automatic Recognition of Database Load[J].Journal of Weifang University,2008,8(6). |
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| Authors: | SUN Xu-cai |
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| Institution: | SUN Xu-cai(Weifang University,Weifang 261061,China) |
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| Abstract: | The type of the load is a key consideration in tuning the database system.The strategies for resource allocation are different depending on whether it is Online Transactional Processing(OLTP) or Online Analytical Processing(OLAP).In addition,the type of load often changes during the normal processing cycle.A classification model based on support vector machine is proposed to automatically recognize the type of the load.The experimental results show that the classifiers are reliable,have satisfactory accurac... |
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| Keywords: | self-managed database automatic recognition of load support vector machine |
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