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NearBy-Offload: An Android based Application for Computation Offloading

机译:附近 - 卸载:基于Android的计算卸载应用程序

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Computation offloading in fog computing not only addresses the computation-intensive and delay-sensitive needs of IoT applications but also improves the network lifetime of the IoT-Fog paradigm. As fog node suits as a place for availing offloading services, it introduces another challenge, i.e., selection of most suitable fog node among available heterogeneous fog nodes. Since fog node selection involves multiple criteria such as CPU power, energy, etc., the selection of fog node can be modeled as a multi-criteria decision making (MCDM) problem. In this work, we have designed an android based application, named Nearby-Offload, to provide a realtime implementation of computation offloading. Nearby-Offload also integrates two well-known MCDM methods, i.e., MAAU (Multi-Attribute Additive Utility) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), for selecting the most suitable fog node based on the preference given by the user for criteria. This application is designed in such a way that new MCDM methods can be integrated by the user if required.
机译:FOG计算中的计算卸载不仅满足了IOT应用程序的计算密集型和延迟敏感性,而且还提高了IOT-FOG范例的网络生命周期。由于FOG节点适合作为利用卸载服务的地方,它引入了另一个挑战,即在可用的异构雾节点中选择最合适的雾节点。由于FOG节点选择涉及多个标准,例如CPU功率,能量等,因此雾节点的选择可以被建模为多标准决策(MCDM)问题。在这项工作中,我们设计了一个基于Android的应用程序,命名附近卸载,以提供计算卸载的实时实现。附近 - 卸载还集成了两个众所周知的MCDM方法,即Maau(多属性添加剂)和TOPSIS(通过与理想解决方案的相似性的顺序偏好技术),用于根据所提供的优先选择选择最合适的雾节点用户的标准。此应用程序的设计是以这样的方式设计,即如果需要,可以通过用户集成新的MCDM方法。

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