Sinfonia:边缘本地应用程序的跨层编排

M. Satyanarayanan, J. Harkes, J. Blakley, Marc Meunier, Govindarajan Mohandoss, Kiel Friedt, Arun Thulasi, Pranav Saxena, Brian J. Barritt
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引用次数: 1

摘要

5G无线网络和边缘计算的融合使新的边缘本地应用程序能够同时满足带宽消耗、延迟敏感和计算密集型的要求。例子包括深度沉浸式增强现实、可穿戴认知辅助、保护隐私的视频分析、边缘触发的意外发现,以及羽毛级无人机的自主群。这种边缘原生应用程序需要跨云(第1层)、云(第2层)和设备(第3层)进行网络感知和负载感知的资源编排。本文描述了Sinfonia的架构,这是一个用于跨层编排的开源系统。sinonia的关键属性包括:支持多个特定于供应商的Tier-1编配根,提供跨越技术和非技术标准的端到端运行时控制;使用第三方Kubernetes集群作为cloudlets,统一处理远程管理、超融合和即时的cloudlets变体;屏蔽应用程序的编排复杂性,从而降低创建新的边缘本地应用程序的障碍。我们描述了Sinfonia的初始版本(https://github.com/cmusatyalab/sinfonia),并分享了我们对未来发展的想法。
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Sinfonia: Cross-tier orchestration for edge-native applications
The convergence of 5G wireless networks and edge computing enables new edge-native applications that are simultaneously bandwidth-hungry, latency-sensitive, and compute-intensive. Examples include deeply immersive augmented reality, wearable cognitive assistance, privacy-preserving video analytics, edge-triggered serendipity, and autonomous swarms of featherweight drones. Such edge-native applications require network-aware and load-aware orchestration of resources across the cloud (Tier-1), cloudlets (Tier-2), and device (Tier-3). This paper describes the architecture of Sinfonia, an open-source system for such cross-tier orchestration. Key attributes of Sinfonia include: support for multiple vendor-specific Tier-1 roots of orchestration, providing end-to-end runtime control that spans technical and non-technical criteria; use of third-party Kubernetes clusters as cloudlets, with unified treatment of telco-managed, hyperconverged, and just-in-time variants of cloudlets; masking of orchestration complexity from applications, thus lowering the barrier to creation of new edge-native applications. We describe an initial release of Sinfonia (https://github.com/cmusatyalab/sinfonia), and share our thoughts on evolving it in the future.
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