[talks] Arpit Gupta will present his FPO "Flexible and Scalable Systems for Network Management" on Friday, 8/31/2018 at 10 am in CS 302.

[Nicki Gotsis]

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. 




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