A High-Performance Cluster Management System Based on Distributed Hierarchical Autonomic Management Mechanism

Author

Wang, Jie ; Zeng, Yu

Author_Institution

Sch. of Manage., Capital Normal Univ., Beijing, China

Volume

1

fYear

2012

fDate

26-27 Aug. 2012

Firstpage

297

Lastpage

300

Abstract

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 DHAView. 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.

Keywords

correlation theory; distributed processing; pattern clustering; DHAView system; autonomic management features; distributed hierarchical autonomic management system; real large size high performance cluster management system; Computational modeling; Computer architecture; Computers; Correlation; Monitoring; Reliability; Scalability; autonomic computing; distributed hierarchical autonomic management; high-performance cluster management;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2012 4th International Conference on

Conference_Location

Nanchang, Jiangxi

Print_ISBN

978-1-4673-1902-7

Type

conf

DOI

10.1109/IHMSC.2012.81

Filename

6305685