Massive information flows are gen- erated from interactive processing and visua- lizations. To efficiently support information transmission over the Interact, information cen- tric architecture has been recently propo...Massive information flows are gen- erated from interactive processing and visua- lizations. To efficiently support information transmission over the Interact, information cen- tric architecture has been recently proposed. In this paper, we consider an information centric architecture, called the data centric networking architecture to provide communication servi- ces to big data, where a service identifier is used to name the data objects. We propose dif- ferent approaches for the dissemination of data objects in a large-scale data centric network. In particular, we propose various approaches to link the data dissemination approach with the topology of the Internet. Further, we eva- luate the proposed approaches with respect to data delivery efficiency, round-trip time imp- rovement, and deployment cost. Based on the results obtained from this study, it can be sh- own that by disseminating data objects to small ISPs, the data delivery efficiency can be significantly improved within an acceptable deployment cost.展开更多
In this paper, we explore network architecture anal key technologies for content-centric networking (CCN), an emerging networking technology in the big-data era. We descrihe the structure anti operation mechanism of...In this paper, we explore network architecture anal key technologies for content-centric networking (CCN), an emerging networking technology in the big-data era. We descrihe the structure anti operation mechanism of tl CCN node. Then we discuss mobility management, routing strategy, and caching policy in CCN. For better network performance, we propose a probability cache replacement policy that is based on cotent popularity. We also propose and evaluate a probability cache with evicted copy-up decision policy.展开更多
缓存是命名数据网络(named data networking,NDN)有别于传统网络最突出的特性之一,NDN中默认所有节点都具有缓存所有经过数据的功能.这种"处处缓存"策略导致网内大量冗余数据的产生,使网内缓存被严重浪费.针对上述问题,首次...缓存是命名数据网络(named data networking,NDN)有别于传统网络最突出的特性之一,NDN中默认所有节点都具有缓存所有经过数据的功能.这种"处处缓存"策略导致网内大量冗余数据的产生,使网内缓存被严重浪费.针对上述问题,首次提出了一种基于节点分类(based on node classification,BNC)的数据存储策略.基于节点位置的不同,将数据返回客户端所经过的节点分为"边缘"类节点与"核心"类节点.当数据经过"核心"类节点时,通过权衡该类节点的位置与数据在不同节点的流行度分布,将数据存储在对其他节点最有利的节点中;当数据经过"边缘"类节点时,通过该数据流行度来选择最有利于客户端的位置.仿真结果表明,提出的策略将有效提高数据命中率,减少数据请求时延和距离.展开更多
基金supported by the National Science and Technology Major Projects of the Ministry of Science and Technology of China under Grant No.2012ZX03005003the State Key Program of National Natural Science of China under Grant No.61232017+3 种基金the National Basic Research Program of China(973 Program)under Grant No.2013CB329101the National Natural Science Foundation of China under Grants No.61102049,No.61271202the Beijing Natural Science Foundation underGrants No.4132053,No.4122060the Scientific Research Foundation of the Returned Overseas Chinese Scholars of State Education Ministry under Grant No.W13C300010
摘要Massive information flows are gen- erated from interactive processing and visua- lizations. To efficiently support information transmission over the Interact, information cen- tric architecture has been recently proposed. In this paper, we consider an information centric architecture, called the data centric networking architecture to provide communication servi- ces to big data, where a service identifier is used to name the data objects. We propose dif- ferent approaches for the dissemination of data objects in a large-scale data centric network. In particular, we propose various approaches to link the data dissemination approach with the topology of the Internet. Further, we eva- luate the proposed approaches with respect to data delivery efficiency, round-trip time imp- rovement, and deployment cost. Based on the results obtained from this study, it can be sh- own that by disseminating data objects to small ISPs, the data delivery efficiency can be significantly improved within an acceptable deployment cost.
基金supported by National Natural Science Foundation of China under Grant No.60872018 and No. 60902015Major National Science and Technology Project No. 2011ZX03005-004-03
摘要In this paper, we explore network architecture anal key technologies for content-centric networking (CCN), an emerging networking technology in the big-data era. We descrihe the structure anti operation mechanism of tl CCN node. Then we discuss mobility management, routing strategy, and caching policy in CCN. For better network performance, we propose a probability cache replacement policy that is based on cotent popularity. We also propose and evaluate a probability cache with evicted copy-up decision policy.
摘要缓存是命名数据网络(named data networking,NDN)有别于传统网络最突出的特性之一,NDN中默认所有节点都具有缓存所有经过数据的功能.这种"处处缓存"策略导致网内大量冗余数据的产生,使网内缓存被严重浪费.针对上述问题,首次提出了一种基于节点分类(based on node classification,BNC)的数据存储策略.基于节点位置的不同,将数据返回客户端所经过的节点分为"边缘"类节点与"核心"类节点.当数据经过"核心"类节点时,通过权衡该类节点的位置与数据在不同节点的流行度分布,将数据存储在对其他节点最有利的节点中;当数据经过"边缘"类节点时,通过该数据流行度来选择最有利于客户端的位置.仿真结果表明,提出的策略将有效提高数据命中率,减少数据请求时延和距离.
基金Supported by the Key Program of National Natural Science Foundation of China under Grant No.60533110(国家自然科学基金重点项目)the National Natural Science Foundation of China under Grant No.60473075(国家自然科学基金)+3 种基金the National Grand Fundamental Research973Program of China under Grant No.2006CB303000(国家重点基础研究发展计划(973))the Program for New Century Excellent Talents in University of China under Grant No.NCET-05-0333(新世纪优秀人才支持计划)the Key Program of the Natural Science Foundation of Heilongjiang Province of China under Grant No.ZJG03-05(黑龙江省自然科学基金重点项目)the Heilongjiang Province Scientific and Technological Special Fund for Young Scholars of China under Grant No.QC06C033(黑龙江省青年科技专项资金)