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智能管道架构及技术方案探讨
引用本文:王茜,陈运清,曹磊.智能管道架构及技术方案探讨[J].中兴通讯技术,2012,18(1):16-19.
作者姓名:王茜  陈运清  曹磊
作者单位:1. 中国电信股份有限公司北京研究院,北京,100035
2. 中国电信集团公司,北京,100032
基金项目:国家高技术研究发展“(863”)计划(2011AA01A110)
摘    要:文章认为在新型业务需求和新技术涌现的双重驱动下,运营商网络面临着技术革新的挑战,要求网络提升智能化水平,以便快速高效地提供融合业务的承载。基于业务需求和技术发展,文章分析了智能管道的关键技术方案:多维感知分析技术方案、融合策略控制技术方案、智能流量调度优化技术方案。文章指出智能网络能力提升应向上承接业务平台、聚合互联网应用,向下协同用户终端,有机构成统一的"端、管、云"运营体系,为客户提供从底层网络到上层增值应用的协同服务。

关 键 词:智能网络能力提升  感知分析  策略控制  流量优化  融合业务

Infrastructure and Technology Solutions of NICE
WANG Qian , CHEN Yunqing , CAO Lei.Infrastructure and Technology Solutions of NICE[J].ZTE Communications,2012,18(1):16-19.
Authors:WANG Qian  CHEN Yunqing  CAO Lei
Affiliation:1. China Telecom Corporation Limited Beijing Research Institute, Beijing 100035, China; 2. China Telecom Corporation Limited, Beijing 100032, China)
Abstract:With the promotion of new applications and technologies, operators are facing greater pressure to create innovative technology, especially for improving network intelligence and providing fixed mobile convergence (FMC). This paper presents key techniques for network intelligence: multidimensional analysis, convergent policy control, and intelligent traffic optimization. Network intelligence enhancement (NICE) needs to coordinate with service platform, applications, and terminals. This constitutes a unified operation system in which terminal, pipe, and cloud are unified, and customers are provided with collaborative services--from underlying network layer to the value-added application layer.
Keywords:network intelligence capability enhancement  awareness and analysis policy control  traffic optimization  fixed mobile convergence
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