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Anja Feldmann
Researcher at Max Planck Society
Publications - 368
Citations - 18932
Anja Feldmann is an academic researcher from Max Planck Society. The author has contributed to research in topics: The Internet & Antigen. The author has an hindex of 67, co-authored 340 publications receiving 17422 citations. Previous affiliations of Anja Feldmann include Saarland University & AT&T.
Papers
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Journal ArticleDOI
Computing call admission capacities in linear networks
TL;DR: It is surprising to find that Best Fit allocation policies are inferior to First Fit policies in the models studied, and it is proved that the natural necessary condition for stability is sufficient.
Proceedings ArticleDOI
Towards hardware accelerated software routers
TL;DR: This work proposes an alternative router design that uses commodity PC hardware running an open source software router for the control path, and couples it with programmable switching hardware by delegating most of the packet forwarding to the switch.
Proceedings ArticleDOI
Programming the Home and Enterprise WiFi with OpenSDWN
Julius Schulz-Zander,Carlos Mayer,Bogdan Ciobotaru,Stefan Schmid,Anja Feldmann,Roberto Riggio +5 more
TL;DR: This paper presents and evaluates OpenSDWN, a novel WiFi architecture based on an SDN/NFV approach that exploits datapath programmability to enable service differentiation and fine-grained transmission control, facilitating the prioritization of critical applications.
Journal ArticleDOI
Targeting Acute Myeloid Leukemia Using the RevCAR Platform: A Programmable, Switchable and Combinatorial Strategy.
Enrico Kittel-Boselli,Enrico Kittel-Boselli,Karla Elizabeth González Soto,Liliana R. Loureiro,Anja Hoffmann,Ralf Bergmann,Ralf Bergmann,Claudia Arndt,Claudia Arndt,Stefanie Koristka,Nicola Mitwasi,Alexandra Kegler,Tabea Bartsch,Nicole Berndt,Heidi Altmann,Frederick Fasslrinner,Martin Bornhäuser,Michael Bachmann,Anja Feldmann +18 more
TL;DR: In this article, a switchable, flexible and programmable adaptor reverse (Rev) CAR platform was proposed to enable combinatorial tumor targeting following Boolean logic gates, and the applicability of the RevCAR platform to target myeloid malignancies like AML was demonstrated.
Proceedings ArticleDOI
BGP Prefix Delegations: A Deep Dive
Thomas Krenc,Anja Feldmann +1 more
TL;DR: This work analyzes BGP data as well as large-scale traceroute data to understand how delegations affect path selection and highlights that the fragmentation of address space is going to continue and renders the routing table more and more un-aggregatable.