首页> 外文会议>Chinese Control and Decision Conference >Network energy consumption analysis and dormancy mechanism based on ant colony algorithm in cloud computing environment for IOT service and real-time embedded industrial control system
【24h】

Network energy consumption analysis and dormancy mechanism based on ant colony algorithm in cloud computing environment for IOT service and real-time embedded industrial control system

机译:基于蚁群算法在云计算环境中基于蚁群算法的网络能耗分析与实时嵌入式工业控制系统

获取原文

摘要

At present, cloud computing technology is widely used in IOT(Internet of Things) service and real-time embedded industrial control system energy consumption, problem in the cloud computing has always been the hot topic of industry and academic research. This paper analyzes the energy consumption of each equipment under the dormancy mechanism in the cloud computing environment. Meanwhile, this paper introduces the ant colony algorithm into a basic network energy consumption model, thereby building a new model for the energy consumption optimization. The simulation experiments were implemented on a cloud computing simulation platform CLOUDSIM. In comparison with two algorithms — Min LP and Dijkstra, the model presented in this paper was proved to be effective and more energy-efficient.
机译:目前,云计算技术广泛应用于物联网(物联网)服务和实时嵌入式工业控制系统能源消耗,云计算中的问题一直是工业和学术研究的热门话题。本文分析了云计算环境中休眠机制下每个设备的能耗。同时,本文将蚁群算法介绍到基本网络能耗模型中,从而构建了能耗优化的新模型。仿真实验在云计算仿真平台CloudSim上实现。与两种算法 - MIN LP和Dijkstra相比,本文提出的模型被证明是有效和更节能的。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号