A FUZZY GREY FORECASTING MODEL FOR MULTI-SCALE INTERNET TRAFFIC

摘要：

The Undulating Grey Model (UGM) can be used to predict internet traffic, and it performs better than other Grey Models upon multi-scale traffics. However, UGM employs frequency spectrum of the traffic and needs to select the most significant frequencies as the parameters, which is hard to be decided manually. In this paper, we introduce clustering methods to find the significant frequencies. We find the best modeling length based on different clustering groups. We also find the value of the best modeling length is relevant to the frequency spectrum.

关键词： Grey Model Fuzzy Multi-Scale Prediction

作者: Yidong Cui Qiyao Wang Yuehui Jin

作者单位: State Key Lab of Networking and Switching Technology,Beijing University of Posts and Telecommunicati School of Information and Communication EngineeringBeijing University of Posts and Telecommunication State Key Lab of Networking and Switching Technology, Beijing University of Posts and Telecommunicat

会议类型: 国际会议

会议名称: 2010 3rd IEEE International Conference on Broadband Network & Multimedia Technology(2010年第三届IEEE宽带网络与多媒体国际会议 IC-BNMT 2010)

会议地点: 北京

会议语种:英文

页码: 233-237

在线出版日期: 2010-10-26（万方平台首次上网日期，不代表论文的发表时间）