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Providing resources in Fog Computing infrastructure: considerations on performance requirements

机译:在雾计算基础架构中提供资源:性能要求方面的考虑

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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.
机译:雾计算,作为现代应用场景中的不断发展的范式,来到竞技场作为云计算开发后继的继承者,为网络边缘的最终用户提供弹性资源和服务,而云计算更多关于提供分布在核心网络中的资源。雾计算能够在延迟,功耗降低数据流量的延迟,功耗降低等方面提供更好的服务质量。雾计算的主要特点是支持需要低延迟,位置意识和移动性的应用程序的能力。本文讨论在设计和实现雾计算系统时可能遇到问题的各个方面。在估计雾计算的能力的目的,已经研究了实施主要组成部分的实验网络,具体实施了用于在雾计算的背景下进行雾化计算架构以及管理问题的先决条件。

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