Arpit Gupta will present his FPO "Flexible and Scalable Systems for Network Management" on Friday, 8/31/2018 at 10 am in CS 302. The members of his committee are as follows: Adviser: Nick Feamster; Readers: Nick Feamster, Jennifer Rexford, and Walter Willinger (NIKSUN Inc.); Examiners: Marshini Chetty, Kyle Jamieson, and Nick Feamster. Everyone is invited to attend. A copy of his thesis is available in CS 310. Thesis abstract follows below. Our daily lives are heavily reliant upon Internet-connected devices, services, and applications. This reliance makes it more critical than ever that the underlying networks they depend on be reliable, performant, and secure. At the same time, the increasing complexity and diversity of today's devices, services, and applications have made network management tasks more complicated than ever. Modern network management mandates that operators can systematically monitor what is going on in their networks (network monitoring) and use this information to take real-time preventive or corrective actions (network control). Achieving these goals while also adhering to the limited compute and storage resources available on modern network devices poses signi\u000Ccant challenges. The contribution of this dissertation is the design and implementation of two systems that enable exible and scalable network monitoring and control. The networkmonitoring system, Sonata, collects and analyzes network tra c to infer various network events in real time. The network-control system, SDX, enables \u000Cne-grained reactive control actions for interdomain tra c without disrupting the existing routing protocols. For each of these two systems, the dissertation focuses on (i) the ab- stractions that allow network operators to express exible programs for both network monitoring and control; (ii) the algorithms that make the best use of limited compute and storage resources; and (iii) the systems that combine the high-level abstractions and the low-level algorithms and can be deployed in production settings. The lessons learned from this dissertation can help us design next-generation network-management systems. More concretely, unlike existing systems that rely solely on a single device-type, this dissertation shows that designing systems that can pool resources from a heterogeneous set of devices (targets) is critical for building exible and scalable network-management systems. It also demonstrates that as the networking technologies and protocols evolve rapidly with time, it is imperative to design modular systems that can swiftly catch up with these changes. Finally, this research also illustrates that it is crucial to select strategic locations (e.g., Internet exchange points) for deployment to drive innovations in Internet-wide tra c monitoring and control.