G
Georgios Zervas
Researcher at University College London
Publications - 318
Citations - 9996
Georgios Zervas is an academic researcher from University College London. The author has contributed to research in topics: Optical burst switching & Optical switch. The author has an hindex of 38, co-authored 296 publications receiving 8348 citations. Previous affiliations of Georgios Zervas include University of Zagreb & University of Essex.
Papers
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Proceedings ArticleDOI
Network, Compute and Storage Function Programmability and Virtualization: An FPGA-based Disaggregated System
TL;DR: Software defined hardware programmability and virtualization framework of network and computing is proposed and validated using FPGA-based infrastructure with complex data and image algorithms.
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Heapable Sequences and Subsequences
TL;DR: In this article, it was shown that the longest heapable subsequence of a random permutation of n numbers has length (1 - o(1)) n, and a subsequence with length ( 1 − o( 1)) n can in fact be found online with high probability.
Proceedings ArticleDOI
IDEALIST data plane solutions for elastic optical networks
Patricia Layec,Arnaud Dupas,Markus Nolle,Johannes Karl Fischer,Colja Schubert,Josep M. Fabrega,M. Svaluto Moreolo,Nicola Sambo,Gianluca Meloni,Francesco Fresi,Antonio Napoli,Danish Rafique,Marc Bohn,Antonio D'Errico,Talha Rahman,Emilio Hugues-Salas,Yan Yan,S. Yan,Georgios Zervas,Dimitra Simeonidou,A. Stavdas,Chris Matrakidis,Theofanis Orphanoudakis +22 more
TL;DR: The work carried out in the ICT IDEALIST project and in particular the data plane solutions towards 1Tb/s optical networks with flexgrid and flex-rate technology are reported.
Proceedings ArticleDOI
Application-aware ingress interface for dynamic OBS networks
Antonio Pantaleo,Yixuan Qin,Georgios Zervas,Reza Nejabati,Dimitra Simeonidou,Achille Pattavina +5 more
TL;DR: This paper presents an application-aware ingress interface for dynamic OBS networks that considers application requirements and demonstrates aggregation mechanisms that consider application requirements on the testbed.
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Fake It Till You Make It: Reputation, Competition, and Yelp Review Fraud
Michael Luca,Georgios Zervas +1 more
TL;DR: In this paper, the authors investigate the economic incentives to commit review fraud on the popular review platform Yelp, using two complementary approaches and datasets, and shed further light on the economic incentive behind a business's decision to leave fake reviews.