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互联网自治域商业关系推测算法
范琪琳 ; 尹浩 ; 林闯 ; 董加卿 ; 宋伟 ; FAN Qi-Lin ; YIN Hao ; LIN Chuang ; DONG Jia-Qing ; Song Wei
2016-03-30 ; 2016-03-30
关键词自治域商业关系 推测算法 有效路径 路由策略 互联网 autonomous systems business relationship inference algorithm valid path routing policy Internet TP393.01
其他题名Inference Algorithms of Internet Autonomous Systems Business Relationships
中文摘要随着互联网进入商业化发展阶段,不同管理机构的自治域通过商业合作关系来共同路由互联网中的流量.从工程上来看,获取全面准确的自治域商业关系可以指导有效的流量工程管理和资源部署从而均衡网络负载,提高服务可靠性,减少网络运营成本;从理论上来看,获取全面准确的自治域关系可以分析互联网的演进模型,指导设计新的路由协议和互联网架构.虽然互联网路由注册中心会记录自治域之间的商业关系,但是由于商业敏感以及注册中心缺乏维护更新,公开的自治域商业关系并不全面准确,因而通过推测算法获得更加全面准确的自治域商业关系成为了学术界与产业界关注的热点.文中系统地综述了现有的互联网自治域商业关系推测算法及其存在的问题,并对该领域有待进一步研究的问题和可能的解决方案给出了一些建议.; With the Internet's entry to the commercialization stage,Autonomous Systems(ASs) operated by different administrative domains collaborate on routing traffic through the business relationship.Accurate and complete AS relationships,from engineering perspective,can help guiding effective traffic engineering and resource placement,thus optimizing network load, increasing service reliability and reducing network operating costs.From theory perspective,it can be used to analyze Internet evolvement model,guide design of new routing protocol and Internet architecture.Although Internet Routing Registry(IRR)records the business relationships between ASs,due to the commercial sensitivity and the lack of maintenance and updates in IRR, public business relationships between ASs are not accurate and complete,thus obtaining AS business relationships through inference algorithms has been a hot issue of academic and industrial circles.This paper systematically surveys the existing inference algorithms of AS business relationships and their shortcomings.Furthermore,this paper addresses the research trends,and presents the potential solutions.
语种中文 ; 中文
内容类型期刊论文
源URL[http://ir.lib.tsinghua.edu.cn/ir/item.do?handle=123456789/146807]  
专题清华大学
推荐引用方式
GB/T 7714
范琪琳,尹浩,林闯,等. 互联网自治域商业关系推测算法[J],2016, 2016.
APA 范琪琳.,尹浩.,林闯.,董加卿.,宋伟.,...&Song Wei.(2016).互联网自治域商业关系推测算法..
MLA 范琪琳,et al."互联网自治域商业关系推测算法".(2016).
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