计算连续体:过去、现在和未来

IF 12.7 1区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Luiz F. Bittencourt , Roberto Rodrigues-Filho , Josef Spillner , Filip De Turck , José Santos , Nelson L.S. da Fonseca , Omer Rana , Manish Parashar , Ian Foster
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引用次数: 0

摘要

多年来,网络连接计算资源的发展导致了各种计算范式,每种范式都为创建高效的分布式系统带来了自己的一组挑战。目前,将不断发展的物联网(IoT)与已建立的云基础设施集成的需求越来越大。这种集成通常需要添加中间层来解决诸如延迟、带宽、安全性、成本和控制等云限制。这种配置称为计算连续体,涉及具有独特特性的各种分布式设备阵列,它们协同工作以满足当前和新兴应用程序的需求。本文探讨了导致计算连续体发展的路径,从历史的角度提供了一个技术不可知论的定义。它还审查了可以从计算连续体中受益的应用程序,并确定了需要解决的研究挑战,以充分实现其潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The computing continuum: Past, present, and future
The development of network-connected computing resources has led to various computing paradigms over the years, each bringing its own set of challenges for creating efficient distributed systems. Currently, there is an increasing need to integrate the evolving Internet of Things (IoT) with the established Cloud infrastructure. This integration often requires adding intermediate layers to address Cloud limitations such as latency, bandwidth, security, cost, and control. This configuration, known as the computing continuum, involves a diverse array of distributed devices with unique characteristics working together to meet the demands of both current and emerging applications. This paper explores the path that has led to the development of the computing continuum, offering a technology-agnostic definition from a historical perspective. It also examines applications that can benefit from the computing continuum and identifies research challenges that need to be addressed to fully realize its potential.
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来源期刊
Computer Science Review
Computer Science Review Computer Science-General Computer Science
CiteScore
32.70
自引率
0.00%
发文量
26
审稿时长
51 days
期刊介绍: Computer Science Review, a publication dedicated to research surveys and expository overviews of open problems in computer science, targets a broad audience within the field seeking comprehensive insights into the latest developments. The journal welcomes articles from various fields as long as their content impacts the advancement of computer science. In particular, articles that review the application of well-known Computer Science methods to other areas are in scope only if these articles advance the fundamental understanding of those methods.
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