Temporal QoS management in scientific cloud workflow systems
Cloud computing can provide virtually unlimited scalable high performance computing resources. Cloud workflows often underlie many large scale data/computation intensive e-science applications such as earthquake modelling, weather forecasting and astrophysics. During application modelling, these so...
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| Otros Autores: | , |
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Waltham, Mass. :
Elsevier Science
2012.
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| Edición: | 1st edition |
| Colección: | Elsevier insights.
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628287806719 |
| Sumario: | Cloud computing can provide virtually unlimited scalable high performance computing resources. Cloud workflows often underlie many large scale data/computation intensive e-science applications such as earthquake modelling, weather forecasting and astrophysics. During application modelling, these sophisticated processes are redesigned as cloud workflows, and at runtime, the models are executed by employing the supercomputing and data sharing ability of the underlying cloud computing infrastructures. Temporal QOS Management in Scientific Cloud Workflow Systems focuses on real w |
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| Notas: | Description based upon print version of record. |
| Descripción Física: | 1 online resource (155 p.) |
| Bibliografía: | Includes bibliographical references and index. |
| ISBN: | 9781280581854 9786613611635 9780123972958 |
