{"title":"网络缓存的5G网络模拟器","authors":"Dongju Kim, Joonyoung Lim, Younghwan Yoo","doi":"10.1109/ICUFN57995.2023.10200595","DOIUrl":null,"url":null,"abstract":"This paper proposes a simulator for network caching research in a hierarchical 5G network. The proposed simulator adopts a modular structure to simply and quickly test new caching policies, and also includes well-known methods such as Leave Copy Everywhere (LCE) and Leave Copy Down (LCD) for performance comparison. The functions of combining existing caching policies and adjusting the number of components enable researchers to easily test their own caching policies. Additionally, the simulator provides the module to test a caching policy based on the Deep Q-Network (DQN). Recently, mobile edge caching (MEC), which stores frequently accessed content at the edge of the network, has been proposed to reduce the backhaul traffic. The proposed simulator also offers a way for evaluating MEC performance in hierarchical 5G wireless networks.","PeriodicalId":341881,"journal":{"name":"2023 Fourteenth International Conference on Ubiquitous and Future Networks (ICUFN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"5G Network Simulator for Network Caching\",\"authors\":\"Dongju Kim, Joonyoung Lim, Younghwan Yoo\",\"doi\":\"10.1109/ICUFN57995.2023.10200595\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a simulator for network caching research in a hierarchical 5G network. The proposed simulator adopts a modular structure to simply and quickly test new caching policies, and also includes well-known methods such as Leave Copy Everywhere (LCE) and Leave Copy Down (LCD) for performance comparison. The functions of combining existing caching policies and adjusting the number of components enable researchers to easily test their own caching policies. Additionally, the simulator provides the module to test a caching policy based on the Deep Q-Network (DQN). Recently, mobile edge caching (MEC), which stores frequently accessed content at the edge of the network, has been proposed to reduce the backhaul traffic. The proposed simulator also offers a way for evaluating MEC performance in hierarchical 5G wireless networks.\",\"PeriodicalId\":341881,\"journal\":{\"name\":\"2023 Fourteenth International Conference on Ubiquitous and Future Networks (ICUFN)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 Fourteenth International Conference on Ubiquitous and Future Networks (ICUFN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICUFN57995.2023.10200595\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 Fourteenth International Conference on Ubiquitous and Future Networks (ICUFN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICUFN57995.2023.10200595","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
本文提出了一种用于分层5G网络中网络缓存研究的模拟器。所提出的模拟器采用模块化结构,可以简单快速地测试新的缓存策略,并且还包括众所周知的方法,如Leave Copy Everywhere (LCE)和Leave Copy Down (LCD),用于性能比较。组合现有缓存策略和调整组件数量的功能使研究人员能够轻松地测试他们自己的缓存策略。此外,模拟器还提供了基于深度Q-Network (DQN)的缓存策略测试模块。近年来,移动边缘缓存(MEC)被提出,将频繁访问的内容存储在网络边缘,以减少回程流量。所提出的模拟器还提供了一种评估分层5G无线网络中MEC性能的方法。
This paper proposes a simulator for network caching research in a hierarchical 5G network. The proposed simulator adopts a modular structure to simply and quickly test new caching policies, and also includes well-known methods such as Leave Copy Everywhere (LCE) and Leave Copy Down (LCD) for performance comparison. The functions of combining existing caching policies and adjusting the number of components enable researchers to easily test their own caching policies. Additionally, the simulator provides the module to test a caching policy based on the Deep Q-Network (DQN). Recently, mobile edge caching (MEC), which stores frequently accessed content at the edge of the network, has been proposed to reduce the backhaul traffic. The proposed simulator also offers a way for evaluating MEC performance in hierarchical 5G wireless networks.