Serverless computing in the cloud-to-edge continuum

IF 6.2 2区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS
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引用次数: 0

Abstract

Serverless computing is establishing itself as a way to efficiently run cloud applications while abstracting the underlying infrastructure complexity away from application developers. At the same time, edge computing provides cloud-like facilities toward the edge of the network, in closer proximity to client devices. Integration of serverless and edge computing is promising. However, many research challenges still need to be solved to let this integration unleash its full potential. This special issue brings together works making high-quality and original contributions in this field, either proposing innovative strategies, implementing and testing novel solutions, or making new serverless datasets available to the community.

云到边缘连续体中的无服务器计算
无服务器计算正在成为一种高效运行云应用的方式,同时将底层基础设施的复杂性从应用开发人员手中抽象出来。同时,边缘计算在网络边缘提供类似云的设施,更接近客户端设备。无服务器计算和边缘计算的整合前景广阔。然而,要让这种整合充分释放其潜力,仍有许多研究难题需要解决。本特刊汇集了在这一领域做出高质量原创贡献的作品,这些作品或提出了创新战略,或实施和测试了新的解决方案,或向社区提供了新的无服务器数据集。
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来源期刊
CiteScore
19.90
自引率
2.70%
发文量
376
审稿时长
10.6 months
期刊介绍: Computing infrastructures and systems are constantly evolving, resulting in increasingly complex and collaborative scientific applications. To cope with these advancements, there is a growing need for collaborative tools that can effectively map, control, and execute these applications. Furthermore, with the explosion of Big Data, there is a requirement for innovative methods and infrastructures to collect, analyze, and derive meaningful insights from the vast amount of data generated. This necessitates the integration of computational and storage capabilities, databases, sensors, and human collaboration. Future Generation Computer Systems aims to pioneer advancements in distributed systems, collaborative environments, high-performance computing, and Big Data analytics. It strives to stay at the forefront of developments in grids, clouds, and the Internet of Things (IoT) to effectively address the challenges posed by these wide-area, fully distributed sensing and computing systems.
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