A High-Performance Cluster Management System based on Distributed Hierarchical Autonomic Management Mechanism
Large size cluster management is a complex and difficult task. In this paper, we firstly discuss distributed hierarchical autonomic management mechanisms including the framework of distributed hierarchical autonomic management system and functions of each its component. And then we design and realize a high-performance cluster management system DHA View. It has autonomic management features such as global information integration, global unified monitoring and management, alarm correlation inference base on autonomic element and local event association analysis. Now this DHAView system is successfully used to manage a real large size high performance cluster.
high-performance cluster management autonomic computing distributed hierarchical autonomic management
Jie Wang Yu Zeng
School of Management, Capital Normal University Beijing, China Beijing Computing Center Beijing, China
国际会议
南昌
英文
297-300
2012-08-26(万方平台首次上网日期,不代表论文的发表时间)