CAREER: Towards Self-Managing Wireless Networks Using M3

本研究的目标是自动化无线网络的两个核心管理功能-性能管理和故障管理。这些功能对于提供高质量和可靠的无线通信至关重要。为了实现这一目标，本研究开发了一个系统的框架，称为M3，测量，建模和管理无线网络。M3使用测量数据来驱动模型构建。以这种方式，该模型可以比通用网络模型更接近地反映给定网络。同时，简单的网络模型允许有效的分析和control.To实现的框架，研究开发新的方法来测量和推断无线干扰和流量需求的可扩展性和准确的方式。在测量数据的基础上，采用网络嵌入的方法，构造简单灵活的模型，便于网络分析和控制。该研究进一步开发了用于网络优化、故障排除和恢复的鲁棒优化、随机规划和离群值检测技术。为了展示这些方法的实用价值，这项工作将开发一个完整的无线网络测量，建模和管理工具包，并将其应用于管理家庭，校园，企业和医疗诊所的无线网络。所开发的技术和工具包可以显著改善当前的无线网络操作，并促进新的无线网络开发。最后，该项目的研究成果将被整合到本科生和研究生课程中。

The goal of this research is to automate two core management functionalities for wireless networks - performance management and fault management. These functionalities are critical to providing high-quality and reliable wireless communications. To achieve this goal, this research develops a systematic framework, called M3, which measures, models, and manages wireless networks. M3 uses measurement data to drive model construction. In this way, the model can more closely reflect a given network than a generic network model. In the meantime, the simplicity of the network model permits efficient analysis and control.To realize the framework, the research develops novel methodology for measuring and inferring wireless interference and traffic demands in a scalable and accurate fashion. Based on the measurement data, network embedding is used to construct simple and flexible models to facilitate network analysis and control. The research further develops robust optimization, stochastic programming, and outlier detection techniques for network optimization, troubleshooting, and recovery. To demonstrate the practical values of the approaches, this work will develop a complete toolkit for wireless network measurement, modeling, and management, and apply them to managing wireless networks at home, on campus, in enterprises, and at medical clinics. The techniques and toolkit developed can significantly improve current wireless network operations and facilitate new wireless network development. Finally, the research results of the project will be integrated into undergraduate and graduate curriculum.