{"title":"在异构点对点网络中支持低成本视频点播","authors":"Xin Liu, S. Vuong","doi":"10.1109/ISM.2005.112","DOIUrl":null,"url":null,"abstract":"We propose a novel low-cost video-on-demand architecture for heterogeneous peer-to-peer networks. The key idea of this architecture is to aggregate peers' storage and bandwidths to facilitate on-demand video streaming. To achieve this goal, we split published videos into segments and distribute them to different peers. When watching a video, a peer searches the corresponding segments, and then aggregates bandwidths from multiple supplying peers to stream the video. Instead of relying on the powerful servers/proxies, this architecture exploits the often-underutilized peers' resources, which makes it cost-effective. We demonstrate the effectiveness of this proposed architecture through extensive simulation experiments on large, Internet-like topologies.","PeriodicalId":322363,"journal":{"name":"Seventh IEEE International Symposium on Multimedia (ISM'05)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Supporting low-cost video-on-demand in heterogeneous peer-to-peer networks\",\"authors\":\"Xin Liu, S. Vuong\",\"doi\":\"10.1109/ISM.2005.112\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a novel low-cost video-on-demand architecture for heterogeneous peer-to-peer networks. The key idea of this architecture is to aggregate peers' storage and bandwidths to facilitate on-demand video streaming. To achieve this goal, we split published videos into segments and distribute them to different peers. When watching a video, a peer searches the corresponding segments, and then aggregates bandwidths from multiple supplying peers to stream the video. Instead of relying on the powerful servers/proxies, this architecture exploits the often-underutilized peers' resources, which makes it cost-effective. We demonstrate the effectiveness of this proposed architecture through extensive simulation experiments on large, Internet-like topologies.\",\"PeriodicalId\":322363,\"journal\":{\"name\":\"Seventh IEEE International Symposium on Multimedia (ISM'05)\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-12-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Seventh IEEE International Symposium on Multimedia (ISM'05)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISM.2005.112\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Seventh IEEE International Symposium on Multimedia (ISM'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISM.2005.112","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Supporting low-cost video-on-demand in heterogeneous peer-to-peer networks
We propose a novel low-cost video-on-demand architecture for heterogeneous peer-to-peer networks. The key idea of this architecture is to aggregate peers' storage and bandwidths to facilitate on-demand video streaming. To achieve this goal, we split published videos into segments and distribute them to different peers. When watching a video, a peer searches the corresponding segments, and then aggregates bandwidths from multiple supplying peers to stream the video. Instead of relying on the powerful servers/proxies, this architecture exploits the often-underutilized peers' resources, which makes it cost-effective. We demonstrate the effectiveness of this proposed architecture through extensive simulation experiments on large, Internet-like topologies.