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Fair Share Scheduler for OpenNebula : Implementation and performance tests: Implementation and performance tests
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| Zeitschriftentitel: | EPJ Web of Conferences |
|---|---|
| Personen und Körperschaften: | , , |
| In: | EPJ Web of Conferences, 214, 2019, S. 07001 |
| Format: | E-Article |
| Sprache: | Unbestimmt |
| veröffentlicht: |
EDP Sciences
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| Schlagwörter: |
| author_facet |
Bagnasco, Stefano Vallero, Sara Zaccolo, Valentina Bagnasco, Stefano Vallero, Sara Zaccolo, Valentina |
|---|---|
| author |
Bagnasco, Stefano Vallero, Sara Zaccolo, Valentina |
| spellingShingle |
Bagnasco, Stefano Vallero, Sara Zaccolo, Valentina EPJ Web of Conferences Fair Share Scheduler for OpenNebula : Implementation and performance tests General Earth and Planetary Sciences General Engineering General Environmental Science |
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bagnasco, stefano |
| spelling |
Bagnasco, Stefano Vallero, Sara Zaccolo, Valentina 2100-014X EDP Sciences General Earth and Planetary Sciences General Engineering General Environmental Science http://dx.doi.org/10.1051/epjconf/201921407001 <jats:p>A small Cloud infrastructure for scientific computing likely operates in a saturated regime, which imposes to optimize the allocation of resources. Tenants typically pay <jats:italic>a priori</jats:italic> for a fraction of the overall resources. Within this business model, an advanced scheduling strategy is needed in order to optimize the data centre occupancy. FaSS, a Fair Share Scheduler service for OpenNebula, addresses this issue by satisfying resource requests according to an algorithm, which prioritizes tasks according to an initial weight and to the historical resource usage of the project. In this proceedings, we are going to describe the implementation of FaSS Version 1.0, released in March 2017 as a product of the INDIGO-DataCloud project. We are also going to discuss the results of FaSS functional and stress tests performed at the Cloud infrastructure of the INFN-Torino computing centre.</jats:p> Implementation and performance tests Fair Share Scheduler for OpenNebula : Implementation and performance tests EPJ Web of Conferences |
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EPJ Web of Conferences |
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| title_sub |
Implementation and performance tests |
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Fair Share Scheduler for OpenNebula : Implementation and performance tests |
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Fair Share Scheduler for OpenNebula : Implementation and performance tests |
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Fair Share Scheduler for OpenNebula : Implementation and performance tests |
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Fair Share Scheduler for OpenNebula : Implementation and performance tests |
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Fair Share Scheduler for OpenNebula : Implementation and performance tests |
| title_short |
Fair Share Scheduler for OpenNebula : Implementation and performance tests |
| title_sort |
fair share scheduler for opennebula : implementation and performance tests |
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General Earth and Planetary Sciences General Engineering General Environmental Science |
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http://dx.doi.org/10.1051/epjconf/201921407001 |
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2019 |
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07001 |
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<jats:p>A small Cloud infrastructure for scientific computing likely operates in a saturated regime, which imposes to optimize the allocation of resources. Tenants typically pay <jats:italic>a priori</jats:italic> for a fraction of the overall resources. Within this business model, an advanced scheduling strategy is needed in order to optimize the data centre occupancy. FaSS, a Fair Share Scheduler service for OpenNebula, addresses this issue by satisfying resource requests according to an algorithm, which prioritizes tasks according to an initial weight and to the historical resource usage of the project. In this proceedings, we are going to describe the implementation of FaSS Version 1.0, released in March 2017 as a product of the INDIGO-DataCloud project. We are also going to discuss the results of FaSS functional and stress tests performed at the Cloud infrastructure of the INFN-Torino computing centre.</jats:p> |
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| author | Bagnasco, Stefano, Vallero, Sara, Zaccolo, Valentina |
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| description | <jats:p>A small Cloud infrastructure for scientific computing likely operates in a saturated regime, which imposes to optimize the allocation of resources. Tenants typically pay <jats:italic>a priori</jats:italic> for a fraction of the overall resources. Within this business model, an advanced scheduling strategy is needed in order to optimize the data centre occupancy. FaSS, a Fair Share Scheduler service for OpenNebula, addresses this issue by satisfying resource requests according to an algorithm, which prioritizes tasks according to an initial weight and to the historical resource usage of the project. In this proceedings, we are going to describe the implementation of FaSS Version 1.0, released in March 2017 as a product of the INDIGO-DataCloud project. We are also going to discuss the results of FaSS functional and stress tests performed at the Cloud infrastructure of the INFN-Torino computing centre.</jats:p> |
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| spelling | Bagnasco, Stefano Vallero, Sara Zaccolo, Valentina 2100-014X EDP Sciences General Earth and Planetary Sciences General Engineering General Environmental Science http://dx.doi.org/10.1051/epjconf/201921407001 <jats:p>A small Cloud infrastructure for scientific computing likely operates in a saturated regime, which imposes to optimize the allocation of resources. Tenants typically pay <jats:italic>a priori</jats:italic> for a fraction of the overall resources. Within this business model, an advanced scheduling strategy is needed in order to optimize the data centre occupancy. FaSS, a Fair Share Scheduler service for OpenNebula, addresses this issue by satisfying resource requests according to an algorithm, which prioritizes tasks according to an initial weight and to the historical resource usage of the project. In this proceedings, we are going to describe the implementation of FaSS Version 1.0, released in March 2017 as a product of the INDIGO-DataCloud project. We are also going to discuss the results of FaSS functional and stress tests performed at the Cloud infrastructure of the INFN-Torino computing centre.</jats:p> Implementation and performance tests Fair Share Scheduler for OpenNebula : Implementation and performance tests EPJ Web of Conferences |
| spellingShingle | Bagnasco, Stefano, Vallero, Sara, Zaccolo, Valentina, EPJ Web of Conferences, Fair Share Scheduler for OpenNebula : Implementation and performance tests, General Earth and Planetary Sciences, General Engineering, General Environmental Science |
| title | Fair Share Scheduler for OpenNebula : Implementation and performance tests |
| title_full | Fair Share Scheduler for OpenNebula : Implementation and performance tests |
| title_fullStr | Fair Share Scheduler for OpenNebula : Implementation and performance tests |
| title_full_unstemmed | Fair Share Scheduler for OpenNebula : Implementation and performance tests |
| title_short | Fair Share Scheduler for OpenNebula : Implementation and performance tests |
| title_sort | fair share scheduler for opennebula : implementation and performance tests |
| title_sub | Implementation and performance tests |
| title_unstemmed | Fair Share Scheduler for OpenNebula : Implementation and performance tests |
| topic | General Earth and Planetary Sciences, General Engineering, General Environmental Science |
| url | http://dx.doi.org/10.1051/epjconf/201921407001 |