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首页> 外文期刊>Internet of Things Journal, IEEE >Toward Hierarchical Mobile Edge Computing: An Auction-Based Profit Maximization Approach
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Toward Hierarchical Mobile Edge Computing: An Auction-Based Profit Maximization Approach

机译:走向分层移动边缘计算:基于拍卖的利润最大化方法

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摘要

The multitiered concept of Internet of Things (IoT) devices, cloudlets, and clouds is facilitating a user-centric IoT. However, in such three tier network, it is still desirable to investigate efficient strategies to offer the computing, storage, and communications resources to the users. To this end, this paper proposes a new hierarchical model by introducing the concept of field, shallow, and deep cloudlets where the cloudlet tier itself is designed in three hierarchical levels based on the principle of LTE-advanced backhaul network. Accordingly, we explore a two time scale approach in which the computing resources are offered in an auction-based profit maximization manner and then the communications resources are allocated to satisfy the users' quality of service.
机译:物联网(IoT)设备,cloudlet和云的多层概念正在促进以用户为中心的IoT。但是,在这样的三层网络中,仍然需要研究有效的策略以向用户提供计算,存储和通信资源。为此,本文通过引入现场云,浅层云和深层云的概念,提出了一种新的分层模型,其中,基于LTE先进的回程网络的原理,将云层本身设计为三个分层级别。因此,我们探索了一种两种时间尺度的方法,其中以基于拍卖的利润最大化的方式提供计算资源,然后分配通信资源以满足用户的服务质量。

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