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A distributed cloud resource management framework for High-Performance Computing (HPC) applications

机译:用于高性能计算(HPC)应用程序的分布式云资源管理框架

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The High-Performance Computing (HPC) users require the high-end compute, storage, and, network execution environment in a dynamic manner for testing HPC applications. The High-Performance Computing Cloud (HPCC) provides a kind of execution environment in an on-demand manner. Generally, the cloud resource management system or cloud resource broker manages the compute, storage, and network resources in HPCC. However, it faces the challenges of scalability, interoperability, and achieving guaranteed Quality of Service (QoS). Hence, the proposed research work addresses the above-said issues by employing the distributed cloud resource management framework. The proposed system can be able to handle a large number of user application requests and manage the multiple cloud resources in an interoperable manner. The proposed system is evaluated by submitting a large number of real-world HPC applications. The performance metrics such as response time, a number of successfully handled requests, and user satisfaction are measured to evaluate the performance of proposed system.
机译:高性能计算(HPC)用户以动态的方式要求高端计算,存储和网络执行环境以测试HPC应用程序。高性能计算云(HPCC)以按需方式提供了一种执行环境。通常,云资源管理系统或云资源代理管理HPCC中的计算,存储和网络资源。但是,它面临着可扩展性,互操作性和实现保证的服务质量(QoS)的挑战。因此,拟议的研究工作通过采用分布式云资源管理框架解决了上述问题。所提出的系统可以能够以可互操作的方式处理大量用户应用程序请求并管理多个云资源。通过提交大量现实世界HPC应用程序来评估所提出的系统。测量响应时间,许多成功处理请求和用户满意度等性能指标以评估所提出的系统的性能。

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