[1]邱爽 任树华.钻井数据库集群监测系统的设计与实现[J].计算机技术与发展,2011,(02):238-241.
　QIU Shuang,REN Shu-hua.Design and Implementation of Drilling Database Cluster Monitoring System[J].,2011,(02):238-241.
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钻井数据库集群监测系统的设计与实现()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2011年02期
页码:
238-241
栏目:
应用开发研究
出版日期:
1900-01-01

文章信息/Info

Title:
Design and Implementation of Drilling Database Cluster Monitoring System
文章编号:
1673-629X（2011）02-0238-04
作者:
邱爽 任树华
大连工业大学信息科学与工程学院
Author(s):
QIU Shuang; REN Shu-hua
Dept.of Information Science ＆ Engineering,Dalian Polytechnic University
关键词:
真正应用集群; 性能优化; 轮询监测
Keywords:
real application cluster;  performance optimizing;  polling mointor
分类号:
TP311
文献标志码:
A
摘要:
为了及时了解制约整个钻井数据库集群系统在海量数据的OLTP商业应用中执行效率的主要性能瓶颈,有必要实施对集群的管理维护,保证系统性能的优化。因此,论文以钻井数据库集群系统为背景,分析集群系统的体系结构和性能优化,设计并实现了一种基于C#的轮询监测数据库集群系统的体系结构模型,还详细介绍了数据采集、管理以及数据可视化各个模块的具体实现。通过对钻井数据库集群系统进行轮询监测,周期的从节点中采样CPU利用率、网络流量以及各磁盘的状态情况等性能指标,进一步验证了该软件的可用性和有效性
Abstract:
In order to keep abreast of the major performance bottlenecks in the drilling database cluster system which restrict the system to enhance the efficiency in the OLTP business applications of mass data,it is necessary to implement the management and maintenance of cluster,ensure optimal system performance.Therefore,the paper is on the background of drilling database cluster system,analyzing the cluster system architecture and performance optimization,and designing the architecture model and the implementation strategy of a C sharp-based polling monitoring system.Then the method of data collection,information management and the visualization of node state are introduced in detail.Finally,further verified the availability and effectiveness of the software through that system monitor the drilling database cluster system which sample periodically the performance indicators such as CPU utilization,network traffic and the state of the disk case from each node

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备注/Memo

备注/Memo:
大连市政府IT优秀教师专项资金（大信发[2008]39、40号）邱爽（1986-），女．硕士，研究方向为数据库集群系统；任树华，硕士生导师，研究方向为企业信息化、web挖掘等
更新日期/Last Update: 1900-01-01