{"title":"在家分享社交内容:一项衡量驱动的可行性研究","authors":"M. Marcon, Bimal Viswanath, M. Cha, K. Gummadi","doi":"10.1145/1989240.1989253","DOIUrl":null,"url":null,"abstract":"Today, OSN sites allow users to share data using a centrally controlled web infrastructure. However, if users shared data directly from home, they could potentially retain full control over the data (i.e., what to share, whom to share with). This paper investigates the feasibility of alternative decentralized architectures that allow users to share their data directly from home. Specifically, we (a) characterize social content workloads using data gathered from the popular Flickr and YouTube social networks and (b) characterize home networks using data gathered from residential gateways deployed in a number of households. We use the data from these measurements to evaluate the potential for delivering social content directly from users' homes.","PeriodicalId":254694,"journal":{"name":"Proceedings of the 21st international workshop on Network and operating systems support for digital audio and video","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"32","resultStr":"{\"title\":\"Sharing social content from home: a measurement-driven feasibility study\",\"authors\":\"M. Marcon, Bimal Viswanath, M. Cha, K. Gummadi\",\"doi\":\"10.1145/1989240.1989253\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Today, OSN sites allow users to share data using a centrally controlled web infrastructure. However, if users shared data directly from home, they could potentially retain full control over the data (i.e., what to share, whom to share with). This paper investigates the feasibility of alternative decentralized architectures that allow users to share their data directly from home. Specifically, we (a) characterize social content workloads using data gathered from the popular Flickr and YouTube social networks and (b) characterize home networks using data gathered from residential gateways deployed in a number of households. We use the data from these measurements to evaluate the potential for delivering social content directly from users' homes.\",\"PeriodicalId\":254694,\"journal\":{\"name\":\"Proceedings of the 21st international workshop on Network and operating systems support for digital audio and video\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"32\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 21st international workshop on Network and operating systems support for digital audio and video\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1989240.1989253\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 21st international workshop on Network and operating systems support for digital audio and video","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1989240.1989253","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Sharing social content from home: a measurement-driven feasibility study
Today, OSN sites allow users to share data using a centrally controlled web infrastructure. However, if users shared data directly from home, they could potentially retain full control over the data (i.e., what to share, whom to share with). This paper investigates the feasibility of alternative decentralized architectures that allow users to share their data directly from home. Specifically, we (a) characterize social content workloads using data gathered from the popular Flickr and YouTube social networks and (b) characterize home networks using data gathered from residential gateways deployed in a number of households. We use the data from these measurements to evaluate the potential for delivering social content directly from users' homes.