计算机应用与软件Issue(9)：49-53,5.DOI:10.3969/j.issn.1000-386x.2015.09.012
云环境下基于LQ NM的数据库系统自配置框架研究
ON ADAPTIVE CONFIGURATION FRAMEWORK FOR LQNM-BASED DATABASE IN CLOUD
摘要
Abstract
In cloud computing environment,the database system workload with highly dynamic variations is unable to guarantee QoS (Quality of Service).In order to solve this problem,we proposed an adaptive configuration framework for database system.This framework can automatically adjust the allocation of system resources according to the dynamic change of workload,so that guarantees the QoS required by users.The core of the framework is an LQNM (layered queuing network model)-based performance prediction model used to guide the search for the optimal allocation of resources and to meet users’performance requirements.We used Hadoop to build a cloud computing envi-ronment,and carried out experiment with TPC-H benchmark data.Experimental results showed that system’s QoS was greatly improved through the regulation on system resource by the adaptive configuration framework.关键词
云计算/数据库系统/分层排队网络模型/自适应配置/性能模型Key words
Cloud computing/Database system/Layered queuing network model/Adaptive configuration/Performance model分类
信息技术与安全科学引用本文复制引用
贾耀,张兴忠..云环境下基于LQ NM的数据库系统自配置框架研究[J].计算机应用与软件,2015,(9):49-53,5.基金项目
国家科技支撑项目子课题（2012BAH04F 02－2）；山西省自然科学基金项目（2012011011－2）；山西省国际科技合作项目（2012081034－2）。 （）
