Heather Miller is an Assistant Clinical Professor at Northeastern University’s College of Computer and Information Science in Boston and
the Executive Director of the Scala Center at EPFL, where she is also a Research Scientist. She recently completed her PhD in EPFL’s Faculty
of Computer and Communication Science where she worked on the now-widespread programming language, Scala. Heather’s research
interests are at the intersection of data-centric distributed systems and programming languages, with a focus on transferring her research
results into industrial use. She has also taught and led development of several popular MOOCs some 1,000,000 students strong, such as "Big
Data Analysis in Scala and Spark" and “Functional Programming Principles in Scala.”

SWS, RG1, MMCI   Info

AG Audience

English

90 Minutes

Saarbrücken

Recent years have seen a rise in distributed systems for interactive, large-scale data processing. Cutting-edge systems focus on reducing latency and increasing expressiveness in order to provide an interactive and rich experience to more and varied users coming from
emerging fields such as data science. Meanwhile, the languages and runtimes underlying such systems face numerous challenges in the context of the severely demanding needs of these new distributed systems; popular languages and runtimes like Scala and the JVM (a)
limit the customizability of fundamental operations like serialization, and (b) expose low-level distribution-related errors to application developers and end users when trying to distribute core language features, such as functions. This talk presents three systems
that (a) give more control over these primitives to distributed systems builders thereby enabling important optimizations, and (b) increase the reliability of distributing functions and objects. Theoretical, experimental, and empirical results are used in the validation of our work.

Claudia Richter

93039103

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Yes

Kaiserslautern

G26

111

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