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SartApproach to Dynamic Adaptivity Simulation in Fog Computing Scenarios

机译:雾计算场景中用于动态适应性仿真的SartApproach

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Fog Computing overcomes the problems of huge latencies in time-critical scenarios of data-intensive applications by leveraging the computation power of devices residing within the Edge instead of offloading all the data to the Cloud for processing. However, the complexity of computing at the Edge makes the resource planning and provisioning increasingly difficult for service providers, especially when it comes to the maintenance of a satisfactory-level Quality of Service (QoS). In this paper, a simulation approach to Fog Computing use cases involving the dynamic adaptivity mechanisms is presented. The simulation tool is implemented as an application run in web browser, relying on existing modeling tool and semantic-driven code generator.
机译:雾计算通过利用Edge内设备的计算能力,而不是将所有数据卸载到云中进行处理,从而克服了数据密集型应用程序在时间紧迫的情况下存在巨大延迟的问题。但是,边缘计算的复杂性使服务提供商的资源规划和配置变得越来越困难,尤其是在维护令人满意的服务质量(QoS)级别时。在本文中,提出了一种涉及动态适应性机制的雾计算用例的仿真方法。依靠现有的建模工具和语义驱动的代码生成器,将仿真工具实现为在Web浏览器中运行的应用程序。

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