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海量存储系统的性能管理与监测方法研究

李超 梁阿磊 管海兵 李小勇

计算机应用与软件2012,Vol.29Issue(7):78-80,3.
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

李超 1梁阿磊 1管海兵 1李小勇1

作者信息

  • 1. 上海交通大学 上海200240
  • 折叠

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)

计算机应用与软件

OA北大核心CSCDCSTPCD

1000-386X

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