Parallel applications are the computational backbone of major industry trends and grand challenges in science. Whereas these applications are typically constructed for dedicated High Performance Computing clusters and supercomputers, the cloud emerges as attractive execution environment, which provides on-demand resource provisioning and a pay-per-use model. However, cloud environments require specific application properties that may restrict parallel application design. As a result, design trade-offs are required to simultaneously maximize parallel performance and benefit from cloud-specific characteristics. In this paper, we present a novel approach to assess the cloud readiness of parallel applications based on the design decisions made. By discovering and understanding the implications of these parallel design decisions on an application’s cloud readiness, our approach supports the migration of parallel applications to the cloud. We introduce an assessment procedure, its underlying meta model, and a corresponding instantiation to structure this multi-dimensional design space. For evaluation purposes, we present an extensive case study comprising three parallel applications and discuss their cloud readiness based on our approach.

中文翻译：

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将并行应用程序迁移到云：根据并行设计决策评估云就绪状态

并行应用程序是主要行业趋势和科学挑战中的计算主干。这些应用程序通常是为专用的高性能计算集群和超级计算机构建的，而云则作为有吸引力的执行环境而出现，它提供按需资源配置和按使用付费的模型。但是，云环境需要特定的应用程序属性，这可能会限制并行应用程序设计。结果，需要权衡设计以同时最大化并行性能并受益于特定于云的特性。在本文中，我们提出了一种新颖的方法，可以根据设计决策来评估并行应用程序的云就绪性。通过发现并理解这些并行设计决策对应用程序云就绪的影响，我们的方法支持将并行应用程序迁移到云。我们介绍了评估程序，其基础元模型和相应的实例化，以构造此多维设计空间。为了进行评估，我们提出了一个包含三个并行应用程序的广泛案例研究，并根据我们的方法讨论了它们的云就绪性。