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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Schnorr, L.M. Huard, G. Navaux, P.O.A. |
| Copyright Year | 2009 |
| Abstract | Highly distributed systems such as Grids are used today to the execution of large-scale parallel applications. The behavior analysis of these applications is not trivial. The complexity appears because of the event correlation among processes, external influences like time-sharing mechanisms and saturation of network links, and also the amount of data that registers the application behavior. Almost all visualization tools to analysis of parallel applications offer a space-time representation of the application behavior. This paper presents a novel technique that combines traces from grid applications with a treemap visualization of the data. With this combination, we dynamically create an annotated hierarchical structure that represents the application behavior for the selected time interval. The experiments in the grid show that we can readily use our technique to the analysis of large-scale parallel applications with thousands of processes. |
| Starting Page | 428 |
| Ending Page | 435 |
| File Size | 262469 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424439355 |
| DOI | 10.1109/CCGRID.2009.19 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-05-18 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Data visualization Scalability Monitoring Large-scale systems Yarn Time sharing computer systems Application software Concurrent computing Distributed computing Grid computing |
| Content Type | Text |
| Resource Type | Article |
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