移动互联网流量矩阵估计的理论和方法研究

With the development of the mobile Internet, many new Internet traffic features such as variety and randomness are emerging. Thus, the analysis of traffic matrix (TM) plays a significant role in the area of Internet engineering and applications. This project will study the theory of traffic matrix modeling, TM estimation methods, various information extraction techniques and its applications for mobile Internet. Specifically, it includes the following: the new models for mobile Internet traffic matrix, the new TM estimation and restoration methods under the environment with insufficient or missed information, the new methods of analyzing the intrinsic structure of TM, the new information extraction.technologies and the application methods of the TM, the relationship of TM high-variability in time or geography with serious social events and the forecast mechanism of such events, the software system for the implementation of the above theories and methods. Based on this research, the project is aimed at discovering the distribution and evolution patterns of our country's Internet TM, and explore the trend of Internet TM of the future. The accomplishment of the project will help us understand accurately and timely the evolution trends of Internet TM and thereby give adequate information to the policy agency for its decision making process. Furthermore, it will provide important guidance to various network researches, such as the network planning and optimal design, anomaly detection of the network flows, network reliability and capacity requirement analysis, and so on.

移动互联网的发展使得互联网流量呈现出多样化和随机化等复杂特点，流量矩阵在互联网工程和应用中具有十分重要的作用和地位。本项目将研究移动互联网中流量矩阵的模型、估计理论、信息提取技术以及应用方法。研究内容包括：研究移动互联网流量矩阵的新模型；研究估计和修复流量矩阵的新方法；研究分析流量矩阵结构特征的模型和方法；研究从流量矩阵中提取出所需信息的新方法以及流量矩阵信息应用的新方式；研究移动互联网流量变化与社会重大事件之间的关联和预警方法；并设计互联网流量矩阵估计和应用的系统算法。在此基础上，研究获取我国互联网流量分布规律和特征的方法，探索未来互联网流量变化的新趋势和新规律。本项目的完成，将帮助我国及时准确掌握互联网流量的分布规律和趋势，给决策部门提供有效的决策依据，将对网络规划与优化设计、流量的异常检测、网络可靠性和容量需求分析等提供有益的指导。

移动互联网的发展使得互联网流量呈现出多样化和随机化等复杂特点，流量矩阵在互联网工程和应用中具有十分重要的作用和地位。本项目将研究移动互联网中流量矩阵的模型、估计理论、信息提取技术以及应用方法。研究内容包括：研究移动互联网流量矩阵的新模型；研究估计和修复流量矩阵的新方法；研究分析流量矩阵结构特征的模型和方法；研究从流量矩阵中提取出所需信息的新方法以及流量矩阵信息应用的新方式；研究移动互联网流量变化与社会重大事件之间的关联和预警方法；并设计互联网流量矩阵估计和应用的系统算法。在此基础上，研究获取我国互联网流量分布规律和特征的方法，探索未来互联网流量变化的新趋势和新规律。本项目的完成，将帮助我国及时准确掌握互联网流量的分布规律和趋势，给决策部门提供有 效的决策依据，将对网络规划与优化设计、流量的异常检测、网络可靠性和容量需求分析等提 供有益的指导。