Toward Hierarchical Mobile Edge Computing: An Auction-Based Profit Maximization Approach
Toward Hierarchical Mobile Edge Computing: An Auction-Based Profit Maximization Approach
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DOI：
10.1109/jiot.2017.2750030
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发表时间：
2017-12-01
影响因子：
10.6
通讯作者：
Ansari, Nirwan
中科院分区：
文献类型：
--
作者：
Kiani, Abbas;Ansari, Nirwan
物联网（IoT）设备、云和云的多层概念正在促进以用户为中心的物联网。然而，在这种三层网络中，仍然需要研究有效的策略来为用户提供计算、存储和通信资源。为此，本文提出了一种新的分层模型，引入了场云、浅云和深云的概念，其中云层本身根据LTE-advanced回程网络的原理分为三个层次。因此，我们探索了一种双时间尺度的方法，该方法以基于拍卖的利润最大化方式提供计算资源，然后分配通信资源以满足用户的服务质量。
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.