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Secure Heterogeneous Cloud Platform for Scientific Computing: To ensure the dynamism of modern business requires scalable and reconfigurable systems, however, the transformation of isolated and static corporate IT-resources is problematic

机译:安全的异构云平台进行科学计算:为了确保现代业务的活力需要可扩展和可重新配置的系统,但是,孤立和静态公司IT资源的转型是有问题的

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New technical systems and facilities are now using more accurate models that require high performance and large amounts of data to be processed. All these add new constraints on the effectiveness of configuration, scalability, and reliability of services. Data protection computation is used at various stages of the life cycle. In response to such demands, it is necessary to develop applications that can achieve high performance in heterogeneous computing infrastructure. Its components can function as in the modes of virtualization, and in the form of clusters, optimized for parallel calculations. Supercomputer Center Polytechnic is being created within the national research university, especially designed for high performance, scalability, heterogeneity and security resources for industrial applications and research. This paper proposes the way to use cloud services for hybrid high performance computing resources management and describes the implementation of hybrid cloud using heterogeneous computing resources, OpenStack platform, and stealth firewalls.
机译:新技术系统和设施现在正在使用更准确的模型,需要进行高性能和大量数据进行处理。所有这些都为服务的配置,可扩展性和可靠性提供了新的约束。数据保护计算用于生命周期的各个阶段。为了响应这些需求,有必要开发能够在异构计算基础设施中实现高性能的应用。其组件可以用作虚拟化模式,并以群集的形式,优化用于并行计算。超级计算机中心“理工学院”是在国家研究大学内创建的,特别是为工业应用和研究的高性能,可扩展性,异质性和安全资源而设计。本文提出了使用云服务对混合高性能计算资源管理的方法,并描述了使用异构计算资源,OpenStack平台和隐形防火墙实现混合云的实现。

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