A platform to deploy customized scientific virtual infrastructures on the cloud

This paper presents a software platform to dynamically deploy complex scientific virtual computing infrastructures, on top of Infrastructure as a Service (IaaS) Clouds. The platform orchestrates different services to provision the virtual computing resources. It dynamically installs the appropriate...

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Detalles Bibliográficos
Autores: Caballer Fernández, Miguel|||0000-0001-9393-3077, Segrelles Quilis, José Damián|||0000-0001-5698-7965, Moltó, Germán|||0000-0002-8049-253X, Blanquer Espert, Ignacio|||0000-0003-1692-8922
Tipo de recurso: artículo
Fecha de publicación:2015
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/63940
Acceso en línea:https://riunet.upv.es/handle/10251/63940
Access Level:acceso abierto
Palabra clave:Cloud computing
Virtual infrastructures
CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL
LENGUAJES Y SISTEMAS INFORMATICOS
Descripción
Sumario:This paper presents a software platform to dynamically deploy complex scientific virtual computing infrastructures, on top of Infrastructure as a Service (IaaS) Clouds. The platform orchestrates different services to provision the virtual computing resources. It dynamically installs the appropriate software to satisfy the requirements of a researcher, both on public and on-premise Clouds. The platform provides a web interface to enable the users to easily management of the lifecycle of virtual infrastructures. It enables users to define infrastructures, share them with other users, deploy and relinquish them, add or remove resources dynamically, create and share application recipes, etc. The paper also describes three case studies to deploy complex infrastructures, namely a Hadoop cluster, a single-node to perform NGS sequencing and a gateway for users to access the European Grid Infrastructure (EGI). This platform promotes a better use of on-premise hardware resources of a research center by allocating the computing resources just-in-time to the specific life time of the virtual infrastructures as well as the deployment of the very same infrastructures on a public Cloud.