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A Computation Offloading Algorithm for Cloud Edge Collaborative Network Based on Sleep Mechanism

机译：基于睡眠机制的云边缘协作网络计算卸载算法

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摘要

The mobile edge computing (MEC) technology is introduced into the traditional mobile cloud computing (MCC) mode to form a cloud-edge-terminal collaborative network architecture (CETCN) to jointly process the massive data and improve the operating efficiency. However, there are still some problems such as high energy consumption of some edge nodes and limited terminal energy in this network architecture. In order to solve the above problems, this paper proposes a computation offloading algorithm based on sleep mechanism. Firstly, time delay and energy consumption models of cloud layer, edge layer and terminal layer are built according to the requirements of different scenes of smart city. Then, the communication and computing resources of each network segment are allocated jointly with the optimization goals of time delay and energy consumption, and the edge server sleep mechanism is used to further improve the resource utilization of the edge nodes. The simulation results show that the proposed algorithm can reduce the network delay and energy consumption, and has practicability.
机译：移动边缘计算（MEC）技术被引入传统的移动云计算（MCC）模式，以形成云边缘终端协作网络架构（CETCN），以共同处理大规模数据并提高操作效率。然而，仍然存在一些问题，例如在该网络架构中的某些边缘节点的高能耗和有限的终端能量。为了解决上述问题，本文提出了一种基于睡眠机制的计算卸载算法。首先，根据智能城市不同场景的要求，建立云层，边缘层和终端层的时间延迟和能量消耗模型。然后，通过时间延迟和能量消耗的优化目标共同分配每个网段的通信和计算资源，并且边缘服务器睡眠机制用于进一步提高边缘节点的资源利用率。仿真结果表明，该算法可以降低网络延迟和能量消耗，具有实用性。

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