CT Scan for Your Network: Topology Inference from End-to-end Measurements

Join a comprehensive lecture where Professor Ting He from Pennsylvania State University explores network topology inference through end-to-end measurements. Learn how to obtain crucial network topology information without requiring control plane access or internal node cooperation, using data plane measurements instead. Discover the fundamentals of topology inference as part of network tomography, understanding how to jointly infer routing topology and link metrics from end-to-end performance measurements like delays and losses. Explore the current state of the art, its limitations, and see practical applications in overlay networks. Drawing from her extensive experience in computer networking, performance evaluation, and machine learning, Professor He, an Associate Professor in the School of Electrical Engineering and Computer Science, shares insights gained from her distinguished career, which includes roles as Associate Editor for prestigious IEEE journals and leadership positions in major conferences.