Lin Zhi, Liang Jiarong
School of Computer, Electronics and Information, Guangxi University, Nanning 530004, China.
Sensors (Basel). 2024 May 1;24(9):2898. doi: 10.3390/s24092898.
In the context of the rapid development of the Internet of Vehicles, virtual reality, automatic driving and the industrial Internet, the terminal devices in the network show explosive growth. As a result, more and more information is generated from the edge of the network, which makes the data throughput increase dramatically in the mobile communication network. As the key technology of the fifth-generation mobile communication network, mobile edge caching technology which caches popular data to the edge server deployed at the edge of the network avoids the data transmission delay of the backhaul link and the occurrence of network congestion. With the growing scale of the network, distributing hot data from cloud servers to edge servers will generate huge energy consumption. To realize the green and sustainable development of the communication industry and reduce the energy consumption of distribution of data that needs to be cached in edge servers, we make the first attempt to propose and solve the problem of edge caching data distribution with minimum energy consumption (ECDDMEC) in this paper. First, we model and formulate the problem as a constrained optimization problem and then prove its NP-hardness. Subsequently, we design a greedy algorithm with computational complexity of O(n2) to solve the problem approximately. Experimental results show that compared with the distribution strategy of each edge server directly requesting data from the cloud server, the strategy obtained by the algorithm can significantly reduce the energy consumption of data distribution.
在车联网、虚拟现实、自动驾驶以及工业互联网快速发展的背景下，网络中的终端设备呈现出爆发式增长。因此，网络边缘产生了越来越多的信息，这使得移动通信网络中的数据吞吐量急剧增加。作为第五代移动通信网络的关键技术，移动边缘缓存技术将热门数据缓存到部署在网络边缘的边缘服务器，避免了回程链路的数据传输延迟以及网络拥塞的发生。随着网络规模的不断扩大，将热点数据从云服务器分发到边缘服务器会产生巨大的能耗。为实现通信行业的绿色可持续发展，降低边缘服务器中需缓存数据的分发能耗，本文首次尝试提出并解决边缘缓存数据最小能耗分发（ECDDMEC）问题。首先，我们将该问题建模并表述为一个约束优化问题，然后证明其NP难性质。随后，我们设计了一种计算复杂度为O(n2)的贪心算法来近似求解该问题。实验结果表明，与各边缘服务器直接从云服务器请求数据的分发策略相比，该算法得到的策略能显著降低数据分发的能耗。
