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大数据驱动的绿色通信网络 被引量:9

Big data-driven resource management for green communication network
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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
作者 张平 崔琪楣
出处 《深圳大学学报(理工版)》 EI CAS 北大核心 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)~~
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 communication and information system green communication big data network virtualization re-source management network optimization energy efficiency dynamic service adaptation
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