Programming Distributed Systems

Our interconnected world is increasingly reliant on distributed systems of unprecedented scale, serving applications which must share state across the globe. And, despite decades of research, we're still not sure how to program them! In this talk, I'll show how to use ideas from programming languages to make programming at scale easier, without sacrificing performance, correctness, or expressive power in the process. We'll see how slight tweaks to modern imperative programming languages can provably eliminate common errors due to replica consistency or concurrency---with little to no programmer effort. We'll see how new language designs can unlock new systems designs, yielding both more comprehensible protocols and better performance. And we'll conclude by imagining together the role that a new cloud-centric programming language could play in the next generation of distributed programs.

References

• MixT: A Language for Mixing Consistency in Geodistributed Transactions Mae Milano, Andrew C. Myers - PLDI 2018
• A Flexible Type System for Fearless Concurrency Mae Milano, Joshua Turcotti, Andrew C. Myers - PLDI 2022
• Derecho: Fast State Machine Replication for Cloud Services Sagar Jha, Jonathan Behrens, Theo Gkountouvas, Mae Milano, Weijia Song, Edward Tremel, Robbert Van Renesse, Sydney Zink, Kenneth P. Birman - 2019

Mae Milano is an incoming assistant professor at Princeton University and a postdoctoral scholar at UC Berkeley working at the intersection of Programming Languages, Distributed Systems, and Databases. Her work has appeared at top-tier academic venues and has attracted the attention of the Swift language team. She is a recipient of the NDSEG Fellowship, has won several awards for her writing and service, and is a founding member of the Computing Connections Fellowship's selection committee (https://computingconnections.org/)

• Web presence: https://languagesforsyste.ms
• Twitter: https://twitter.com/mbpmilano