Title :
Job Monitoring Analysis Tool for HPC Clusters
Author :
Li, Min ; Zhang, Yi-sheng
Author_Institution :
State Key Lab. of Mater. Process. & Die & Mould Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
The number of High performance computing (HPC) clusters is rising. They are playing an important role in grid computational. As more users and projects rely on HPC clusters, high availability are requirements for a fast growing adoption and use. In this paper, we are developing software that monitors HPC clusters while users´ batch jobs execute, and actively performs corrective actions to handle routine queuing. With our prototype, the Grid users are able to find the available cluster nodes, and customize their preferred HPC cluster nodes for their computation intensive applications in Grid computing or utility computing.
Keywords :
grid computing; scheduling; software engineering; HPC clusters; grid computational; grid computing; high performance computing; job monitoring analysis tool; routine queuing; utility computing; Availability; Distributed computing; Grid computing; High performance computing; Laboratories; Materials processing; Materials science and technology; Monitoring; Prototypes; Web services;
Conference_Titel :
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4909-5
DOI :
10.1109/ICISE.2009.700