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Service-dependent task offloading for multiuser mobile edge computing system

机译:多用户移动边缘计算系统的与服务相关的任务分载

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摘要

Mobile edge computing (MEC) has been deemed as one of the key technologies for pushing powerful computing ability to the radio access network. Different scenarios require different services, and tasks usually require computing in a specific runtime environment. However, few studies have taken this into consideration. To this end, the authors propose a novel model of service-dependent task offloading for the multiuser MEC system with resource constraints. Through determining which services should be deployed at the network edge and how many tasks should be offloaded, a revenue maximisation problem is constructed. Accordingly, they propose an iterative optimisation algorithm with high performance for the service deploying and task offloading problem. Finally, numerical simulations reveal that their proposed algorithm outperforms other schemes.
机译:移动边缘计算(MEC)被认为是将强大的计算能力推向无线接入网的关键技术之一。不同的场景需要不同的服务,并且任务通常需要在特定的运行时环境中进行计算。但是,很少有研究考虑到这一点。为此,作者为具有资源约束的多用户MEC系统提出了一种新的服务相关任务卸载模型。通过确定应在网络边缘部署哪些服务以及应卸载多少任务,可以构建收益最大化的问题。因此,他们针对服务部署和任务卸载问题提出了一种高性能的迭代优化算法。最后,数值仿真表明,他们提出的算法优于其他方案。

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