摘要
移动业务流量在过去几年呈指数型增长,给移动运营商的核心网带来了巨大的冲击。3GPP提出了LIPA/SIPTO(Local IP Access/Selected IP Traffic Offload)的网络架构来卸载选定核心网络的移动业务流量。然而,如何选择流量并进行卸载没有给出具体的解决方案。针对这一问题,提出了一套基于业务识别的流量卸载机制,包括无线网络环境中的在线实时业务识别算法METCS及动态流量卸载路径选择算法。仿真结果表明METCS与现有的方法相比,识别准确率提高了5%-8%,复杂度降低了40%。基于METCS的流量卸载机制能使核心网流量减少60%,同时能根据网络负载变化实时动态的选择最优卸载路径以满足不同类型业务的QoS需求。
Mobile traffic presents exponential growth during the past few years and hence has brought unprecedented impact on the mobile operators＇ existing core networks. In order to maintain sufficient mobile communication network capacity for value added services, 3GPP has recently introduced an architecture called ＂LIPA/SIPTO＂ （Local IP Access/Selected IP Traffic Offload） to offload selected mobile IP traffic from the core network. But there is no specific definition on how to select the traffic that should be offloaded. On base of LIPA/SIPTO architecture, a traffic offload mechanism based on on-line traffic classification was proposed, including maximum entropy based IP-traffic classification scheme （METCS） and dynamic traffic offload algorithm. Simulation results show that METCS outperforms existing methods by offering average 5%-8% improvement in classification accuracy with about 60% time. The traffic offload mechanism can reduce about 60% traffic from core network while selects the best offload path according to the type of traffic to be offloaded.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2013年第12期2814-2822,共9页
Journal of System Simulation
基金
2010重大专项(2010ZX03003-001-01)
北京市2010自然基金重大项目
关键词
无线网络
业务识别
流量卸载
最大熵
wireless network
traffic classification
traffic offload
maximum entropy
