Harvesting dispersed computational resources with Openstack: a Cloud infrastructure for the Computational Science community

M. Mariotti, L. Storchi, D. Spiga, G. Vitillaro, M. Tracolli, D. Ciangottini, Manuel Ciangottini, V. Formato, M. Duranti, M. Mergé, P. D'Angeli, R. Primavera, Antonio Guerra, L. Fanò, B. Bertucci
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Abstract

Harvesting dispersed computational resources is nowadays an important and strategic topic especially in an environment, like the computational science one, where computing needs constantly increase. On the other hand managing dispersed resources might not be neither an easy task not costly effective. We successfully explored the use of OpenStack middleware to achieve this objective, our man goal is not only the resource harvesting but also to provide a modern paradigm of computing and data usage access. In the present work we will illustrate a real example on how to build a geographically distributed cloud to share and manage computing and storage resources, owned by heterogeneous cooperating entities
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使用Openstack收集分散的计算资源:用于计算科学社区的云基础设施
如今,获取分散的计算资源是一个重要的战略课题,特别是在计算科学等计算需求不断增加的环境中。另一方面,管理分散的资源可能既不是一项容易的任务,也不是一项成本高、效率高的任务。我们成功地探索了使用OpenStack中间件来实现这一目标,我们的主要目标不仅是资源收集,而且还提供了计算和数据使用访问的现代范例。在当前的工作中,我们将举例说明如何构建地理上分布式的云来共享和管理异构协作实体拥有的计算和存储资源
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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