在雾计算基础设施中提供资源:对性能需求的考虑

N. Usmanova, J. Abdujalilov, A. Suyunov
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引用次数: 1

摘要

雾计算作为现代应用场景的演进范式,作为云计算发展的后继者而出现,为网络边缘的终端用户提供弹性的资源和服务,而云计算更多的是提供分布在核心网的资源。雾计算能够在延迟、功耗、减少全球网络上的数据流量等方面提供更好的服务质量。雾计算的主要特性是它能够支持需要低延迟、位置感知和移动性的应用程序。本文讨论了在设计和实现雾计算系统时可能遇到的各个方面的问题。为了评估雾计算的能力,研究了实现主要组件的实验网络,定义了建模雾计算架构的先决条件以及在雾计算环境中要考虑的管理问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Providing resources in Fog Computing infrastructure: considerations on performance requirements
Fog Computing, as evolving paradigm in modern application scenarios, came to the arena as Cloud Computing developments successor, providing elastic resources and services to end users at the edge of network, while cloud computing are more about providing resources distributed in the core network. Fog computing is able to provide better Quality of Service in terms of delay, power consumption, reduced data traffic over the global network etc. The main feature of Fog computing is its ability to support applications which require low latency, location awareness, and mobility. This paper discusses various aspects of issues may be encountered when designing and implementing fog computing systems. With the purpose of the estimation of the capabilities of Fog Computing, the experimental network implementing the major components has been investigated, with defining the prerequisites for modeling Fog Computing architecture as well as management issues to be considered in the context of fog computing.
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