The computing continuum: From IoT to the cloud

IF 6 3区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
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引用次数: 0

Abstract

In the era of the IoT revolution, applications are becoming ever more sophisticated and accompanied by diverse functional and non-functional requirements, including those related to computing resources and performance levels. Such requirements make the development and implementation of these applications complex and challenging. Computing models, such as cloud computing, can provide applications with on-demand computation and storage resources to meet their needs. Although cloud computing is a great enabler for IoT and endpoint devices, its limitations make it unsuitable to fulfill all design goals of novel applications and use cases. Instead of only relying on cloud computing, leveraging and integrating resources at different layers (like IoT, edge, and cloud) is necessary to form and utilize a computing continuum. The layers’ integration in the computing continuum offers a wide range of innovative services, but it introduces new challenges (e.g., monitoring performance and ensuring security) that need to be investigated. A better grasp and more profound understanding of the computing continuum can guide researchers and developers in tackling and overcoming such challenges. Thus, this paper provides a comprehensive and unified view of the computing continuum. The paper discusses computing models in general with a focus on cloud computing, the computing models that emerged beyond the cloud, and the communication technologies that enable computing in the continuum. In addition, two novel reference architectures are presented in this work: one for edge–cloud computing models and the other for edge–cloud communication technologies. We demonstrate real use cases from different application domains (like industry and science) to validate the proposed reference architectures, and we show how these use cases map onto the reference architectures. Finally, the paper highlights key points that express the authors’ vision about efficiently enabling and utilizing the computing continuum in the future.

计算的连续性:从物联网到云计算
在物联网革命时代,应用变得越来越复杂,并伴随着各种功能和非功能要求,包括与计算资源和性能水平相关的要求。这些要求使得这些应用的开发和实施变得复杂而具有挑战性。云计算等计算模式可以按需为应用程序提供计算和存储资源,以满足其需求。虽然云计算是物联网和终端设备的重要推动力,但其局限性使其无法满足新型应用和用例的所有设计目标。与其仅仅依赖云计算,不如充分利用和整合不同层(如物联网、边缘和云)的资源,形成并利用计算连续体。计算连续体中各层的整合提供了广泛的创新服务,但也带来了新的挑战(如监控性能和确保安全),需要加以研究。对计算连续体的更好把握和更深刻理解可以指导研究人员和开发人员应对和克服这些挑战。因此,本文提供了一个全面、统一的计算连续体视图。本文讨论了以云计算为重点的一般计算模型、云计算之外出现的计算模型以及在连续体中实现计算的通信技术。此外,本文还介绍了两个新颖的参考架构:一个是边缘云计算模型,另一个是边缘云通信技术。我们展示了来自不同应用领域(如工业和科学)的真实用例,以验证所提出的参考架构,并说明了这些用例如何映射到参考架构上。最后,本文强调了一些关键点,表达了作者对未来高效启用和利用计算连续体的愿景。
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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来源期刊
Internet of Things
Internet of Things Multiple-
CiteScore
3.60
自引率
5.10%
发文量
115
审稿时长
37 days
期刊介绍: Internet of Things; Engineering Cyber Physical Human Systems is a comprehensive journal encouraging cross collaboration between researchers, engineers and practitioners in the field of IoT & Cyber Physical Human Systems. The journal offers a unique platform to exchange scientific information on the entire breadth of technology, science, and societal applications of the IoT. The journal will place a high priority on timely publication, and provide a home for high quality. Furthermore, IOT is interested in publishing topical Special Issues on any aspect of IOT.
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