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SartApproach to Dynamic Adaptivity Simulation in Fog Computing Scenarios

机译:SartApproach雾化计算场景中的动态适应性仿真

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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:雾计算通过利用驻留在边缘内的设备的计算能力而不是将所有数据卸载到云以进行处理,克服了数据密集型应用中巨大延迟的问题。然而,在边缘计算的复杂性使得资源规划和供应对于服务提供商越来越困难,特别是在维护令人满意的级别服务质量(QoS)时。本文介绍了雾化计算用例的模拟方法,呈现涉及动态适应性机制的案例。仿真工具在Web浏览器中实现为应用程序运行,依靠现有的建模工具和语义驱动的代码生成器。

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