计算机应用与软件2012,Vol.29Issue(7):78-80,3.
海量存储系统的性能管理与监测方法研究
MASS STORAGE SYSTEM PERFORMANCE MANAGEMENT AND MONITORING METHODS RESEARCH
摘要
Abstract
The Mass Storage System is a large-Bcale distributed clustering storage system. It has a PB-level storage capacity where there are thousands of concurrent accesses. To realize mass storage system monitoring and management, the paper uses a ganglia-based and richly improved and optimized monitoring model to satisfy mass storage system requirements. The paper makes efforts on a number of aspects such as performance, function, reliability and resource optimization etc. to continuously perfect the model for achieving a better performance, so that it can provide a reliable assurance for cluster monitoring and management.关键词
海量存储/监控/ganglia/优化Key words
Mass storage/Monitor/Ganglia/Optimization分类
信息技术与安全科学引用本文复制引用
李超,梁阿磊,管海兵,李小勇..海量存储系统的性能管理与监测方法研究[J].计算机应用与软件,2012,29(7):78-80,3.基金项目
上海市科委基金项目(10DZ1500200). (10DZ1500200)