Distributed virtual cluster management system
© 2018 Vladimir V. Korkhov, Sergey S. Kobyshev, Alexander B. Degtyarev, Amissi Cubahiro, Luciano Gaspary, Xingce Wang, Zhongke Wu. An effective cluster management system is the key to solving many problems that arise in the field of distributed computing. One of the major problems is to map applicat...
| Main Authors: | , , , , , , |
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| Format: | Conference Paper |
| Published: |
2018
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| Online Access: | http://hdl.handle.net/20.500.11937/74859 |
| _version_ | 1848763393663565824 |
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| author | Korkhov, V. Kobyshev, S. Degtyarev, A. Cubahiro, A. Gaspary, L. Wang, Xiangyu Wu, Z. |
| author_facet | Korkhov, V. Kobyshev, S. Degtyarev, A. Cubahiro, A. Gaspary, L. Wang, Xiangyu Wu, Z. |
| author_sort | Korkhov, V. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | © 2018 Vladimir V. Korkhov, Sergey S. Kobyshev, Alexander B. Degtyarev, Amissi Cubahiro, Luciano Gaspary, Xingce Wang, Zhongke Wu. An effective cluster management system is the key to solving many problems that arise in the field of distributed computing. One of the major problems is to map applications and available computing resources in such a way that optimal application performance is achieved and resources are used efficiently. The traditional way is to tune applications to the resources which is not always easy or effective. We consider the opposite way that implies configuring resources to the application needs. This leads to the necessity of abstracting resources which can be done with virtualization technologies. In this paper we consider the execution of distributed applications in virtual clusters that are configured specifically to match application requirements to resources. In particular, we investigate performance of NAS Parallel Benchmarks and Hadoop benchmarking suites in different resource sharing scenarios. |
| first_indexed | 2025-11-14T11:02:45Z |
| format | Conference Paper |
| id | curtin-20.500.11937-74859 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:02:45Z |
| publishDate | 2018 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-748592019-02-19T04:18:19Z Distributed virtual cluster management system Korkhov, V. Kobyshev, S. Degtyarev, A. Cubahiro, A. Gaspary, L. Wang, Xiangyu Wu, Z. © 2018 Vladimir V. Korkhov, Sergey S. Kobyshev, Alexander B. Degtyarev, Amissi Cubahiro, Luciano Gaspary, Xingce Wang, Zhongke Wu. An effective cluster management system is the key to solving many problems that arise in the field of distributed computing. One of the major problems is to map applications and available computing resources in such a way that optimal application performance is achieved and resources are used efficiently. The traditional way is to tune applications to the resources which is not always easy or effective. We consider the opposite way that implies configuring resources to the application needs. This leads to the necessity of abstracting resources which can be done with virtualization technologies. In this paper we consider the execution of distributed applications in virtual clusters that are configured specifically to match application requirements to resources. In particular, we investigate performance of NAS Parallel Benchmarks and Hadoop benchmarking suites in different resource sharing scenarios. 2018 Conference Paper http://hdl.handle.net/20.500.11937/74859 restricted |
| spellingShingle | Korkhov, V. Kobyshev, S. Degtyarev, A. Cubahiro, A. Gaspary, L. Wang, Xiangyu Wu, Z. Distributed virtual cluster management system |
| title | Distributed virtual cluster management system |
| title_full | Distributed virtual cluster management system |
| title_fullStr | Distributed virtual cluster management system |
| title_full_unstemmed | Distributed virtual cluster management system |
| title_short | Distributed virtual cluster management system |
| title_sort | distributed virtual cluster management system |
| url | http://hdl.handle.net/20.500.11937/74859 |