云连续测试平台和下一代信息通信技术:趋势、挑战和前景

IF 13.3 1区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Computer Science Review Pub Date : 2024-12-06 DOI:10.1016/j.cosrev.2024.100696
Fran Casino, Peio Lopez-Iturri, Constantinos Patsakis
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引用次数: 0

摘要

随着社会对信息和通信技术(ict)的依赖日益增长,提供高效和资源丰富的服务需要许多复杂性,其中包括需要提供智能和自动化管理的可扩展系统。与此同时,云计算的不同组成部分也在不断发展,以增强其利用下一代信息通信技术的能力。由于提供高效服务所需的大量资源投资,因此在将云技术发布到运营版本之前,用于测试和验证云技术的合适研究和实验平台对于提供具有可持续成本/效益比的健全系统至关重要。在本文中,我们通过分析用于研究云连续体功能的云测试平台来回顾当前的技术状态。本文没有回顾这些系统的组件或体系结构讨论,而是探索了云连续体测试平台的全部范围及其特性,提供了一种分类法,可以实际用作确定每个测试平台范围的入口点。此外,我们提取了在文献中发现的挑战,以提供深刻的讨论,将分析的试验台及其特征联系起来。我们的研究结果突出了主要的差距和潜在的路线图,以提供考虑到下一代信息通信技术的有效试验台。
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Cloud continuum testbeds and next-generation ICTs: Trends, challenges, and perspectives
As society’s dependence on Information and Communication Technologies (ICTs) grows, providing efficient and resourceful services entails many complexities that require, among others, scalable systems that are provided with intelligent and automated management. In parallel, the different components of cloud computing are continuously evolving to enhance their capabilities towards leveraging the next generation of ICTs. Due to the substantial investment in resources required to provide efficient services, suitable research and experimentation platforms to test and validate cloud technologies before releasing them into operational versions are crucial to delivering sound systems with sustainable cost/benefit ratios. In this article, we review the current state of the art by analysing cloud testbeds devoted to studying the capabilities of the cloud continuum. Instead of recalling a component-wise or architectural discussion of these systems, this article explores the full spectrum of the cloud continuum testbeds and their features, providing a taxonomy that can be practically used as an entry point to identify each testbed’s scope. Moreover, we extract the challenges found in the literature to deliver a profound discussion, correlating the analysed testbeds and their features. Our findings highlight the main gaps and potential roadmaps to provide effective testbeds considering the next generation of ICTs.
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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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