PrEstoCloud

IF 1.1 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE
Yiannis Verginadis, Dimitris Apostolou, S. Taherizadeh, Ioannis Ledakis, G. Mentzas, Andreas Tsagkaropoulos, Nikos Papageorgiou, Fotis Paraskevopoulos
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引用次数: 3

摘要

雾计算通过使服务或应用程序功能托管在其数据源附近,从而扩展了多云计算。为了利用雾计算的功能,无服务器和功能即服务(FaaS)软件工程范例允许在多云、雾和边缘资源上灵活部署应用程序。本文回顾了著名的雾计算框架,并讨论了支持faas的应用程序的一些挑战和需求。此外,它提出了一个新的框架,能够动态管理多云、雾和边缘资源,并部署使用FaaS范式开发的数据密集型应用程序。所建议的框架利用FaaS范式,将数据密集型应用程序的平均服务响应时间提高了三倍,而不考虑底层的多云、雾和边缘资源基础设施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PrEstoCloud
Fog computing extends multi-cloud computing by enabling services or application functions to be hosted close to their data sources. To take advantage of the capabilities of fog computing, serverless and the function-as-a-service (FaaS) software engineering paradigms allow for the flexible deployment of applications on multi-cloud, fog, and edge resources. This article reviews prominent fog computing frameworks and discusses some of the challenges and requirements of FaaS-enabled applications. Moreover, it proposes a novel framework able to dynamically manage multi-cloud, fog, and edge resources and to deploy data-intensive applications developed using the FaaS paradigm. The proposed framework leverages the FaaS paradigm in a way that improves the average service response time of data-intensive applications by a factor of three regardless of the underlying multi-cloud, fog, and edge resource infrastructure.
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来源期刊
Information Resources Management Journal
Information Resources Management Journal INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
3.60
自引率
7.10%
发文量
44
期刊介绍: Topics should be drawn from, but not limited to, the following areas, with major emphasis on the managerial and organizational aspects of information resource and technology management: •Application of IT to operation •Artificial intelligence and expert systems technologies and issues •Business process management and modeling •Data warehousing and mining •Database management technologies and issues •Decision support and group decision support systems •Distance learning technologies and issues •Distributed software development •E-collaboration •Electronic commerce technologies and issues •Electronic government •Emerging technologies management
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