{"title":"结构对等网络的流量缓存","authors":"Kuisheng Lin, Ya Zhou, Guimin Huang","doi":"10.1109/WGEC.2009.198","DOIUrl":null,"url":null,"abstract":"The rise in peer-to-peer (P2P) networking has been tremendous in last several years; a large amount of network bandwidth backbone is consumed by P2P traffic. Although many methods have been proposed to manage P2P traffic, these methods require a lot of knowledge about the workloads and are generally difficult to implement. In this paper, we propose a mechanism of traffic cache based on P2P networks and simply modify LRU algorithm to improve cache hit ratio. A series of simulation experiments on the OMNeT++ show that the mechanism can greatly increase the proportion of local area network traffic while P2P downloads are done and effectively reduce the cross-border traffic for having a good way to reduce backbone load.","PeriodicalId":277950,"journal":{"name":"2009 Third International Conference on Genetic and Evolutionary Computing","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Traffic Cache for Structure Peer-to-Peer Networks\",\"authors\":\"Kuisheng Lin, Ya Zhou, Guimin Huang\",\"doi\":\"10.1109/WGEC.2009.198\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The rise in peer-to-peer (P2P) networking has been tremendous in last several years; a large amount of network bandwidth backbone is consumed by P2P traffic. Although many methods have been proposed to manage P2P traffic, these methods require a lot of knowledge about the workloads and are generally difficult to implement. In this paper, we propose a mechanism of traffic cache based on P2P networks and simply modify LRU algorithm to improve cache hit ratio. A series of simulation experiments on the OMNeT++ show that the mechanism can greatly increase the proportion of local area network traffic while P2P downloads are done and effectively reduce the cross-border traffic for having a good way to reduce backbone load.\",\"PeriodicalId\":277950,\"journal\":{\"name\":\"2009 Third International Conference on Genetic and Evolutionary Computing\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-10-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Third International Conference on Genetic and Evolutionary Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WGEC.2009.198\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Third International Conference on Genetic and Evolutionary Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WGEC.2009.198","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Traffic Cache for Structure Peer-to-Peer Networks
The rise in peer-to-peer (P2P) networking has been tremendous in last several years; a large amount of network bandwidth backbone is consumed by P2P traffic. Although many methods have been proposed to manage P2P traffic, these methods require a lot of knowledge about the workloads and are generally difficult to implement. In this paper, we propose a mechanism of traffic cache based on P2P networks and simply modify LRU algorithm to improve cache hit ratio. A series of simulation experiments on the OMNeT++ show that the mechanism can greatly increase the proportion of local area network traffic while P2P downloads are done and effectively reduce the cross-border traffic for having a good way to reduce backbone load.