大数据驱动的绿色通信网络  

Big data-driven resource management for green communication network

作　　者：张平[1] 崔琪楣[1] 

机构地区：[1]北京邮电大学信息与通信工程学院,北京100876

出　　处：《深圳大学学报（理工版）》2013年第6期557-564,共8页Journal of Shenzhen University(Science and Engineering)

基　　金：国家自然科学基金资助项目(61121001)~~

摘　　要：分析当前网络面临的巨大挑战,研究如何有效承载大数据,确保用户服务质量(quality of service,QoS),降低能源消耗,实现绿色通信.指出移动互联网的飞速发展正在加剧其对人类数字生活的影响,推动未来网络在架构设计与网络优化中的变革和发展.探讨面向用户行为和业务特征的大数据建模与分析,无线接入网络虚拟化与业务动态适配理论,保证QoS条件下基于能效的网络资源管理及若干开放性问题,为绿色网络通信研究指出方向.The two major challenges facing computer network are： how to bear big data efficiently, and how to realize green communication by minimizing energy consumption while guaranteeing the quality of service （QoS）. The popu- larization of mobile Internet has enabled the fast spread and exchange of information, changed our digital life signifi- cantly, and leaded to the reform and development of work. The paper focuses on the modeling and analysis network architecture and optimization in next-generation net- of big data of user behavior and service features, wireless ac- cess network virtualization and service dynamic adaptation, and the resource management in terms of energy efficiency. A few open issues are highlighted, which could provide studies of computer networks. of QoS-guaranteed network useful guidelines for future

关 键 词：通信与信息系统 绿色通信 大数据 网络虚拟化 资源管理 网络优化 能效 业务动态适配 

分 类 号：TN929.5[电子电信—通信与信息系统] TN915.01[电子电信—信息与通信工程]