内容分发覆盖中的快速复制

S. Ganguly, Akhilesh Saxena, S. Bhatnagar, R. Izmailov, Suman Banerjee
{"title":"内容分发覆盖中的快速复制","authors":"S. Ganguly, Akhilesh Saxena, S. Bhatnagar, R. Izmailov, Suman Banerjee","doi":"10.1109/INFCOM.2005.1498512","DOIUrl":null,"url":null,"abstract":"We present SPIDER-a system for fast replication or distribution of large content from a single source to multiple sites interconnected over Internet or via a private network. In order to exploit spatial diversity of the underlying network, SPIDER uses an overlay structure composed of dedicated transit nodes (TNs). The data transport mechanism in SPIDER leverages this overlay structure to provide a coordinated approach that minimizes the maximum time to replicate to all destination sites (the make span of content replication). In order to achieve this objective, SPIDER employs two orthogonal components: a) creation of multiple dynamic distribution trees using the transit nodes b) end-to-end reliable data transport with flow control on these trees by chaining point-to-point TCPs. We further present simulations based results to quantify benefits of tree construction algorithms in random topologies. We evaluate the real implementation of the SPIDER in Planet Lab and observe a 2-6 times speed up compared to different existing schemes.","PeriodicalId":20482,"journal":{"name":"Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies.","volume":"4 1","pages":"2246-2256 vol. 4"},"PeriodicalIF":0.0000,"publicationDate":"2005-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"53","resultStr":"{\"title\":\"Fast replication in content distribution overlays\",\"authors\":\"S. Ganguly, Akhilesh Saxena, S. Bhatnagar, R. Izmailov, Suman Banerjee\",\"doi\":\"10.1109/INFCOM.2005.1498512\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present SPIDER-a system for fast replication or distribution of large content from a single source to multiple sites interconnected over Internet or via a private network. In order to exploit spatial diversity of the underlying network, SPIDER uses an overlay structure composed of dedicated transit nodes (TNs). The data transport mechanism in SPIDER leverages this overlay structure to provide a coordinated approach that minimizes the maximum time to replicate to all destination sites (the make span of content replication). In order to achieve this objective, SPIDER employs two orthogonal components: a) creation of multiple dynamic distribution trees using the transit nodes b) end-to-end reliable data transport with flow control on these trees by chaining point-to-point TCPs. We further present simulations based results to quantify benefits of tree construction algorithms in random topologies. We evaluate the real implementation of the SPIDER in Planet Lab and observe a 2-6 times speed up compared to different existing schemes.\",\"PeriodicalId\":20482,\"journal\":{\"name\":\"Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies.\",\"volume\":\"4 1\",\"pages\":\"2246-2256 vol. 4\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-03-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"53\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INFCOM.2005.1498512\",\"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 IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INFCOM.2005.1498512","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 53

摘要

我们提出了spider系统,用于将大型内容从单一来源快速复制或分发到通过Internet或专用网络相互连接的多个站点。为了利用底层网络的空间多样性,SPIDER采用了由专用传输节点(TNs)组成的覆盖结构。SPIDER中的数据传输机制利用这种覆盖结构来提供一种协调的方法,以最大限度地减少复制到所有目标站点的最大时间(内容复制的时间跨度)。为了实现这一目标,SPIDER采用了两个正交组件:a)使用传输节点创建多个动态分布树;b)通过链接点对点tcp在这些树上进行流控制的端到端可靠数据传输。我们进一步提出了基于模拟的结果,以量化随机拓扑中树构建算法的好处。我们在Planet Lab中评估了SPIDER的实际实现,并观察到与不同现有方案相比,速度提高了2-6倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fast replication in content distribution overlays
We present SPIDER-a system for fast replication or distribution of large content from a single source to multiple sites interconnected over Internet or via a private network. In order to exploit spatial diversity of the underlying network, SPIDER uses an overlay structure composed of dedicated transit nodes (TNs). The data transport mechanism in SPIDER leverages this overlay structure to provide a coordinated approach that minimizes the maximum time to replicate to all destination sites (the make span of content replication). In order to achieve this objective, SPIDER employs two orthogonal components: a) creation of multiple dynamic distribution trees using the transit nodes b) end-to-end reliable data transport with flow control on these trees by chaining point-to-point TCPs. We further present simulations based results to quantify benefits of tree construction algorithms in random topologies. We evaluate the real implementation of the SPIDER in Planet Lab and observe a 2-6 times speed up compared to different existing schemes.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信