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首页> 外文期刊>International Journal of High Performance Computing Applications >Towards a computing continuum: Enabling edge-to-cloud integration for data-driven workflows
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Towards a computing continuum: Enabling edge-to-cloud integration for data-driven workflows

机译：迈向计算连续性：为数据驱动的工作流启用边缘到云的集成

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摘要

Dramatic changes in the technology landscape marked by increasing scales and pervasiveness of compute and data have resulted in the proliferation of edge applications aimed at effectively processing data in a timely manner. As the levels and fidelity of instrumentation increases and the types and volumes of available data grow, new classes of applications are being explored that seamlessly combine real-time data with complex models and data analytics to monitor and manage systems of interest. However, these applications require a fluid integration of resources at the edge, the core, and along the data path to support dynamic and data-driven application workflows, that is, they need to leverage a computing continuum. In this article, we present our vision for enabling such a computing continuum and specifically focus on enabling edge-to-cloud integration to support data-driven workflows. The research is driven by an online data-driven tsunami warning use case that is supported by the deployment of large-scale national environment observation systems. This article presents our overall approach as well as current status and next steps.
机译：技术领域的巨大变化以计算和数据的规模和普及性为标志，导致旨在及时有效地处理数据的边缘应用程序激增。随着仪器的级别和保真度的提高以及可用数据的类型和容量的增长，正在探索新的应用程序类别，这些应用程序将实时数据与复杂的模型和数据分析无缝地结合在一起，以监视和管理目标系统。但是，这些应用程序需要在边缘，核心以及沿着数据路径的资源的流畅集成，以支持动态和数据驱动的应用程序工作流，也就是说，它们需要利用计算连续性。在本文中，我们提出了实现这种计算连续性的愿景，并且特别关注于启用边缘到云的集成以支持数据驱动的工作流。这项研究由在线数据驱动的海啸预警用例驱动，该案例由大规模国家环境观察系统的部署提供支持。本文介绍了我们的总体方法以及当前状态和后续步骤。

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