Caballer Fernández, M.; Donvito, G.; Moltó, G.; Rocha, R.; Velten, M. (2017). TOSCA-based orchestration of complex clusters at the IaaS level. Journal of Physics: Conference Series (Online). 898:1-8. https://doi.org/10.1088/1742-6596/898/8/082036
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/99705
Title:
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TOSCA-based orchestration of complex clusters at the IaaS level
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Author:
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Caballer Fernández, Miguel
Donvito, Giacinto
Moltó, Germán
Rocha, Ricardo
Velten, Mathieu
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UPV Unit:
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Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Universitat Politècnica de València. Instituto de Instrumentación para Imagen Molecular - Institut d'Instrumentació per a Imatge Molecular
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Issued date:
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Abstract:
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[EN] This paper describes the adoption and extension of the TOSCA standard by the INDIGO-DataCloud project for the definition and deployment of complex computing clusters together with the required support in both OpenStack ...[+]
[EN] This paper describes the adoption and extension of the TOSCA standard by the INDIGO-DataCloud project for the definition and deployment of complex computing clusters together with the required support in both OpenStack and OpenNebula, carried out in close collaboration with industry partners such as IBM. Two examples of these clusters are described in this paper, the definition of an elastic computing cluster to support the Galaxy bioinformatics application where the nodes are dynamically added and removed from the cluster to adapt to the workload, and the definition of an scalable Apache Mesos cluster for the execution of batch jobs and support for long-running services. The coupling of TOSCA with Ansible Roles to perform automated installation has resulted in the definition of high-level, deterministic templates to provision complex computing clusters across different Cloud sites.
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Subjects:
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TOSCA
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Cloud Orchestration
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Virtual Infrastructures
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Copyrigths:
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Reconocimiento (by)
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Source:
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Journal of Physics: Conference Series (Online). (eissn:
1742-6596
)
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DOI:
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10.1088/1742-6596/898/8/082036
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Publisher:
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IOP Publishing
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Publisher version:
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http://doi.org/10.1088/1742-6596/898/8/082036
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Project ID:
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info:eu-repo/grantAgreement/EC/H2020/653549/EU/INtegrating Distributed data Infrastructures for Global ExplOitation/
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Thanks:
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The authors would like to thank the European Commission for the financial support for project
INDIGO-DataCloud (RIA 653549)
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Type:
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Artículo
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