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管理云连续体:从雾到云的实际部署中吸取的经验教训。

Managing the Cloud Continuum: Lessons Learnt from a Real Fog-to-Cloud Deployment.

机构信息

CRAAX Lab, Universitat Politècnica de Catalunya, 08800 Vilanova i la Geltrú, Spain.

Communications Network Group, Technische Universität Braunschweig, 38106 Braunschweig, Germany.

出版信息

Sensors (Basel). 2021 Apr 23;21(9):2974. doi: 10.3390/s21092974.

DOI:10.3390/s21092974
PMID:33922751
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8123038/
Abstract

The wide adoption of the recently coined fog and edge computing paradigms alongside conventional cloud computing creates a novel scenario, known as the cloud continuum, where services may benefit from the overall set of resources to optimize their execution. To operate successfully, such a cloud continuum scenario demands for novel management strategies, enabling a coordinated and efficient management of the entire set of resources, from the edge up to the cloud, designed in particular to address key edge characteristics, such as mobility, heterogeneity and volatility. The design of such a management framework poses many research challenges and has already promoted many initiatives worldwide at different levels. In this paper we present the results of one of these experiences driven by an EU H2020 project, focusing on the lessons learnt from a real deployment of the proposed management solution in three different industrial scenarios. We think that such a description may help understand the benefits brought in by a holistic cloud continuum management and also may help other initiatives in their design and development processes.

摘要

随着新兴雾计算和边缘计算范式的广泛应用,以及传统云计算的广泛应用,一种新的场景——云连续体(cloud continuum)应运而生,在这个场景中,服务可以受益于整体资源集,以优化其执行。为了成功运行,这种云连续体场景需要新的管理策略,能够协调和有效地管理从边缘到云的整个资源集,特别是为了解决关键边缘特性,如移动性、异构性和波动性。这种管理框架的设计带来了许多研究挑战,并已经在全球范围内不同层面推动了许多举措。在本文中,我们展示了其中一个由欧盟 H2020 项目驱动的经验的结果,重点介绍了在三个不同的工业场景中实际部署所提出的管理解决方案时所获得的经验教训。我们认为,这样的描述可以帮助人们理解整体云连续体管理带来的好处,也可以帮助其他举措在其设计和开发过程中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/937d/8123038/4f577c99f8ee/sensors-21-02974-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/937d/8123038/0d517856013b/sensors-21-02974-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/937d/8123038/6c66381d54e1/sensors-21-02974-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/937d/8123038/2c401189f0e5/sensors-21-02974-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/937d/8123038/4f577c99f8ee/sensors-21-02974-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/937d/8123038/0d517856013b/sensors-21-02974-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/937d/8123038/6c66381d54e1/sensors-21-02974-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/937d/8123038/2c401189f0e5/sensors-21-02974-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/937d/8123038/4f577c99f8ee/sensors-21-02974-g004.jpg

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