Person

Aikaterini Argyraki

I received my PhD in Electrical Engineering in 2007 from Stanford University. As a graduate student, I was part of David Cheriton's Distributed Systems Group. I was also among the first employees of Arista Networks. I joined EPFL as a researcher in 2007, and became an assistant professor in 2011.

Official source

https://people.epfl.ch/katerina.argyraki

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Official source

https://people.epfl.ch/katerina.argyraki

About this result

Related units (1)

Network Architecture Laboratory

Courses taught by this person (2)

CS-202: Computer systems

This course will teach operating systems and networks in an integrated fashion,emphasising the fundamental concepts and techniques that make their interaction possible/practical. Core lectures will be

CS-522: Principles of computer systems

This advanced graduate course teaches the key design principles underlying successful computer and communication systems, and shows how to solve real problems with ideas, techniques, and algorithms fr

MOOCs taught by this person (1)

Principles of Computer Systems

Related publications (46)

Please note that this is not a complete list of this person’s publications. It includes only semantically relevant works. For a full list, please refer to Infoscience.

Edge Caching as Differentiation

Aikaterini Argyraki, Pavlos Nikolopoulos, Muhammad Abdullah

Consider an end-user accessing two content providers, A and B, of the same type. If the end-user's ISP prioritizes A-traffic over B-traffic, the end-user may experience A-content with significantly better quality, and the ISP is said to apply "traffic diff ...

ACM2025

Flow/Path Performance Consistency

Aikaterini Argyraki, Pavlos Nikolopoulos, Georgia Fragkouli

We explore a new network-performance metric: flow/path consistency, which captures whether the end-to-end performance of the flows that traverse a network is consistent with the aggregate performance of the network's elements. We propose a formal definitio ...

ACM2024

Automatically Reasoning About How Systems Code Uses the CPU Cache

George Candea, Aikaterini Argyraki, Rishabh Ramesh Iyer

We present a technique, called CFAR, that developers can use to reason precisely about how their code, as well as third-party code, uses the CPU cache. Given a piece of systems code P, CFAR employs program analysis and binary instrumentation to automatical ...

2024