面向智慧城市节能的战略性元启发式边缘服务器布局方案

2023 International Conference on Artificial Intelligence and Smart Communication (AISC) Pub Date : 2023-01-27 DOI:10.1109/AISC56616.2023.10084941

Chandrasen Pandey, Vaibhav Tiwari, Sambit Pattanaik, Diptendu Sinha Roy

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引用次数: 2

摘要

在计算网络体系结构中，边缘服务器的正确定位和服务器负载对提供高质量的服务至关重要，需要制定战略策略将边缘服务器放置在最佳位置。基于时间约束的动态坦诚方法可以优化边缘服务器的能耗和工作负载平衡。在这项工作中，我们根据繁忙和非繁忙时间来放置边缘服务器。在研究工作中使用上海电信的数据，得出了在繁忙时段和非繁忙时段节能31.97%的战略方案。它还将边缘服务器的工作负载平衡提高了7.19%，并且通过使用三种不同的著名粒子群优化(PSO)， Top-First和Random算法，将边缘服务器的利用率提高了16.16%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Strategic Metaheuristic Edge Server Placement Scheme for Energy Saving in Smart City

In computing network architecture, the edge server’s candid positioning and server workload are vital in providing quality services, a strategic strategy is necessary to place the edge server in the optimal position. The edge server’s energy consumption and workload balancing can be optimized by the dynamic candid approach based on time constraints. In this work, we place the edge server based on busy and non-busy hours. Shanghai telecom data is used in the research work and shows a strategic plan to save energy consumption by 31.97% during busy and non-busy hours. It also increases the workload balance up to 7.19% of the edge server, and the 16.16 % increases the utilization rate of the edge server by using three different well-known Particle swarm optimization (PSO), Top-First, and Random algorithms.

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2023 International Conference on Artificial Intelligence and Smart Communication (AISC)

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