Network Softwarization and Parallel Networks: Beyond Software-Defined Networks
Wang, Fei-Yue1,2; Yang, Liuqing5; Cheng, Xiang6; Han, Shuangshuang3; Yang, Jian4; Liuqing Yang
发表期刊IEEE NETWORK
2016-07-01
卷号30期号:4页码:60-65
文章类型Article
摘要The coexistence of various protocols for current network equipment leads to extremely complex network systems, which not only limit the development of network technologies, but also cannot meet the growing demands for cloud computing, big data, and service visualization applications, just to name a few. As a new network architecture, parallel networks are expected to revolutionize this situation and meet the evolving demands for network services. The main idea of a parallel network is to leverage upon software-defined networking to construct artificial networks, and then effectively optimize the network system operations via the interactions between actual and artificial networks. The foundation of the parallel network is the theory of ACP, composed of artificial societies, computational experiments, and parallel execution. By the computational experiments and analysis of the artificial network, a control strategy based on network traffic flow can be continuously updated and tracked on a real-time basis; meanwhile, the collected operating status of the actual network can also be used to optimize the model of the artificial network. These strategies can be applied to all types of network equipment to control network operations at various levels; thus, it is possible to allocate the network resources more effectively, improve the management and utilization of resources, and then provide new network solutions to effectively address the constantly evolving network demands for network performance, scalability, and security.
关键词Acp
WOS标题词Science & Technology ; Technology
关键词[WOS]SYSTEMS
收录类别SCI
语种英语
项目资助者National Natural Science Foundation of China(61571020 ; National Science Foundation(CNS-1343189) ; National 973 Project(2013CB336700) ; National 863 Project(2014AA01A706 ; Major Project from Beijing Municipal Science and Technology Commission(D151100000115004) ; Early Career Development Award of SKLMCCS(Y3S9021F34) ; 61172105 ; SS2015AA011306) ; 61533019 ; 71232006 ; 61233001 ; 71402178 ; 71472174 ; 61501461 ; 61471269)
WOS研究方向Computer Science ; Engineering ; Telecommunications
WOS类目Computer Science, Hardware & Architecture ; Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号WOS:000384909600010
引用统计
被引频次:31[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/11133
专题多模态人工智能系统全国重点实验室_平行智能技术与系统团队
通讯作者Liuqing Yang
作者单位1.Chinese Acad Sci, Intelligent Control & Syst Engn Ctr, Inst Automat, Beijing, Peoples R China
2.Chinese Acad Sci, Key Lab Complex Syst & Intelligence Sci, Beijing, Peoples R China
3.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing, Peoples R China
4.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China
5.Colorado State Univ, Ft Collins, CO 80523 USA
6.Peking Univ, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Wang, Fei-Yue,Yang, Liuqing,Cheng, Xiang,et al. Network Softwarization and Parallel Networks: Beyond Software-Defined Networks[J]. IEEE NETWORK,2016,30(4):60-65.
APA Wang, Fei-Yue,Yang, Liuqing,Cheng, Xiang,Han, Shuangshuang,Yang, Jian,&Liuqing Yang.(2016).Network Softwarization and Parallel Networks: Beyond Software-Defined Networks.IEEE NETWORK,30(4),60-65.
MLA Wang, Fei-Yue,et al."Network Softwarization and Parallel Networks: Beyond Software-Defined Networks".IEEE NETWORK 30.4(2016):60-65.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
2016Network softwari(492KB)期刊论文作者接受稿开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Wang, Fei-Yue]的文章
[Yang, Liuqing]的文章
[Cheng, Xiang]的文章
百度学术
百度学术中相似的文章
[Wang, Fei-Yue]的文章
[Yang, Liuqing]的文章
[Cheng, Xiang]的文章
必应学术
必应学术中相似的文章
[Wang, Fei-Yue]的文章
[Yang, Liuqing]的文章
[Cheng, Xiang]的文章
相关权益政策
暂无数据
收藏/分享
文件名: 2016Network softwarization and parallel networks beyond software-defined networks.pdf
格式: Adobe PDF
此文件暂不支持浏览
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。