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A tool for monitoring resource usage in large scale supercomputing clusters
Linköping University, Department of Computer and Information Science, PELAB - Programming Environment Laboratory. Linköping University, The Institute of Technology.
2012 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Large scale computer clusters have during the last years become dominant for making computations in applications where extremely high computation capacity is required. The clusters consist of a large set of normal servers, interconnected with a fast network. As each node runs its own instance of the operating system, and each node is working, in that sense autonomously, supervising the whole cluster is a challenge.

To get an overview of the efficency and utilization of the system, one cannot only look at one computer. It is necessary to monitor all nodes to get a good view on how the cluster behaves. Monitoring performance counters in a large scale computation cluster implies many difficulties. How can samples of performance metrics be made available for an operator? How can samples of performance metrics be stored? How can a large set of samples of performance metrics be visualized in a meaningful way?

In this thesis it will be discussed how such a monitoring system can be implemented, what problems one may encounter and possible solutions.

Place, publisher, year, edition, pages
2012. , 39 p.
National Category
Computer Systems
URN: urn:nbn:se:liu:diva-75435ISRN: LIU-IDA/LITH-EX-G-12/002-SEOAI: diva2:506838
External cooperation
Subject / course
Computer and information science at the Institute of Technology
Available from: 2012-03-01 Created: 2012-03-01 Last updated: 2012-03-01Bibliographically approved

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