DBcloud:用于云的语义数据集

M. Morsey, A. Willner, R. Loughnane, Mary Giatili, C. Papagianni, I. Baldin, P. Grosso, Yahya Al-Hazmi
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引用次数: 3

摘要

在云环境中,将来自用户的请求与可用的计算资源相匹配的过程是一项具有挑战性的任务。这在联邦环境中更加复杂,在联邦环境中,多个提供者合作提供适合分布式应用程序的增强服务。为了解决这些问题,可以采用一种强大的建模方法来方便地表达请求和可用的计算资源。这反过来又导致请求和所供应的资源之间的有效匹配。为此,开发了开放多网络本体,它利用语义Web技术的表达能力来描述基础设施组件和服务。这些本体已在许多联邦测试平台中采用。在本文中,介绍了DBcloud,这是一个通过端点提供对开放多网络开放数据的访问的系统。DBcloud可用于简化发现和提供云资源和服务的过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DBcloud: Semantic Dataset for the cloud
In cloud environments, the process of matching requests from users with the available computing resources is a challenging task. This is even more complex in federated environments, where multiple providers cooperate to offer enhanced services, suitable for distributed applications. In order to resolve these issues, a powerful modeling methodology can be adopted to facilitate expressing both the request and the available computing resources. This, in turn, leads to an effective matching between the request and the provisioned resources. For this purpose, the Open-Multinet ontologies were developed, which leverage the expressive power of Semantic Web technologies to describe infrastructure components and services. These ontologies have been adopted in a number of federated testbeds. In this article, DBcloud is presented, a system that provides access to Open-Multinet open data via endpoints. DBcloud can be used to simplify the process of discovery and provisioning of cloud resources and services.
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