SmartORC: smart orchestration of resources in the compute continuum

Emanuele Carlini, Massimo Coppola, Patrizio Dazzi, Luca Ferrucci, Hanna Kavalionak, Ioannis Korontanis, Matteo Mordacchini, Konstantinos Tserpes
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Abstract

The promise of the compute continuum is to present applications with a flexible and transparent view of the resources in the Internet of Things–Edge–Cloud ecosystem. However, such a promise requires tackling complex challenges to maximize the benefits of both the cloud and the edge. Challenges include managing a highly distributed platform, matching services and resources, harnessing resource heterogeneity, and adapting the deployment of services to the changes in resources and applications. In this study, we present SmartORC, a comprehensive set of components designed to provide a complete framework for managing resources and applications in the Compute Continuum. Along with the description of all the SmartORC subcomponents, we have also provided the results of an evaluation aimed at showcasing the framework's capability.
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SmartORC:计算连续体中资源的智能编排
计算连续体的承诺是为应用程序提供物联网-边缘云生态系统中灵活透明的资源视图。然而,这样的承诺需要解决复杂的挑战,以最大限度地发挥云和边缘的优势。挑战包括管理高度分布式的平台、匹配服务和资源、利用资源异构性以及使服务部署适应资源和应用程序中的变化。在这项研究中,我们提出了SmartORC,一套全面的组件,旨在提供一个完整的框架来管理计算连续体中的资源和应用程序。除了对所有SmartORC子组件的描述之外,我们还提供了旨在展示框架功能的评估结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Supercharging distributed computing environments for high-performance data engineering A multiphysics coupling framework for exascale simulation of fracture evolution in subsurface energy applications SmartORC: smart orchestration of resources in the compute continuum Opportunities for enhancing MLCommons efforts while leveraging insights from educational MLCommons earthquake benchmarks efforts
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