边缘和云计算架构下的服务延迟估计方法

M. Beshley, M. Klymash, Myroslav Hamal, Y. Shkoropad, Andriy Branytskyy
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引用次数: 6

摘要

除了数据处理之外,优质和及时地提供原始数据对于数字技术的有效运作至关重要。这需要在数据中心和外围都有可靠的基础设施。外围计算技术的本质在于将数据的初级处理尽可能地转移到数据发生的地方。在这种情况下,与中央云数据中心一起创建紧凑的计算节点,以最大限度地减少网络流量并减少数据传输的延迟。提出了实现边缘计算(EC)和云计算(СС)的未来移动网络架构。这种体系结构对于通过减少延迟来提高服务质量尤其重要。在本文中,我们将重新审视云和边缘计算的概念,并提出一种方法来解决与确保关键任务应用程序的低延迟相关的问题。为此,提出了边缘计算和云计算系统中服务时延的估计方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Method for Estimating Service Delay in Edge and Cloud Computing Architecture
In addition to data processing, quality and timely delivery of primary data is essential to the efficient operation of digital technologies. And this requires a reliable infrastructure both in the data center and on the periphery. The essence of technologies of peripheral calculations consists that primary processing of the data is transferred as close as possible to a source of their occurrence. In this case, along with the central cloud data center, compact computing nodes are created that minimize network traffic and reduce delays in data transmission. The future mobile network architecture with implementation of edge computing (EC) and cloud computing (СС) is proposed. This architecture is especially important for improve quality of services by reducing delay. In this article, we will take a fresh look at the concept of cloud and edge computing and propose an approach to solving the problems associated with ensuring low delay for mission critical applications. For this the method for estimating service delay in edge and cloud computing system has been developed.
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