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Katerina Argyraki
Researcher at École Polytechnique Fédérale de Lausanne
Publications - 73
Citations - 2656
Katerina Argyraki is an academic researcher from École Polytechnique Fédérale de Lausanne. The author has contributed to research in topics: Network packet & Software. The author has an hindex of 27, co-authored 70 publications receiving 2485 citations. Previous affiliations of Katerina Argyraki include Intel & École Normale Supérieure.
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Proceedings ArticleDOI
RouteBricks: exploiting parallelism to scale software routers
Mihai Dobrescu,Norbert Egi,Katerina Argyraki,Byung-Gon Chun,Kevin Fall,Gianluca Iannaccone,Allan D. Knies,Maziar Manesh,Sylvia Ratnasamy +8 more
TL;DR: This work proposes a software router architecture that parallelizes router functionality both across multiple servers and across multiple cores within a single server, and demonstrates a 35Gbps parallel router prototype.
Proceedings Article
Active internet traffic filtering: real-time response to denial-of-service attacks
TL;DR: It is demonstrated that AITF can block a million-flow attack within seconds, while it requires only tens of thousands of wire-speed filters per participating router -- an amount easily accommodated by today's routers.
Proceedings Article
Toward predictable performance in software packet-processing platforms
TL;DR: This work presents a general-purpose packet-processing system that combines ease of programmability with predictable performance, while running a diverse set of applications and serving multiple clients with different needs, and constitutes the first evidence that, when designing software network equipment, flexibility and predictability are not mutually exclusive goals.
Proceedings Article
ResQ: enabling SLOs in network function virtualization
Amin Tootoonchian,Aurojit Panda,Chang Lan,Melvin Walls,Katerina Argyraki,Sylvia Ratnasamy,Scott Shenker +6 more
TL;DR: ResQ is presented, a resource manager for NFV that enforces performance SLOs for multi-tenant NFV clusters in a resource efficient manner and achieves 60%-236% better resource efficiency for enforcing SLOs that contain contention-sensitive NFs compared to previous work.
SenseCode: Network coding for reliable sensor networks
TL;DR: In this article, the authors present a collection protocol for sensor networks called SenseCode, which employs network coding to gracefully introduce a configurable amount of redundant information into the network, thereby decreasing end-to-end packet error rate.