J
Jon Crowcroft
Researcher at University of Cambridge
Publications - 692
Citations - 40720
Jon Crowcroft is an academic researcher from University of Cambridge. The author has contributed to research in topics: The Internet & Multicast. The author has an hindex of 87, co-authored 672 publications receiving 38848 citations. Previous affiliations of Jon Crowcroft include Memorial University of Newfoundland & Information Technology University.
Papers
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Journal ArticleDOI
Statistical Qos Guarantees for Licensed-Unlicensed Spectrum Interoperable D2D Communication
TL;DR: This paper proposes network-assisted device-to-device (D2D) communication in licensed and unlicensed spectrum interoperable networks, to improve D2D users’ throughput while alleviating the spectrum scarcity issue of cellular networks.
Proceedings Article
Unclouded vision
TL;DR: In this article, the authors propose an architecture, Droplets, that enables a controlled trade-off between the costs and benefits of each of the services provided by the service provider.
Proceedings ArticleDOI
FLICK: developing and running application-specific network services
Abdul Alim,Richard G. Clegg,Luo Mai,Lukas Rupprecht,Eric Seckler,Paolo Costa,Peter Pietzuch,Alexander L. Wolf,Nik Sultana,Jon Crowcroft,Anil Madhavapeddy,Andrew W. Moore,Richard Mortier,Masoud Koleini,Luis Oviedo,Derek McAuley,Matteo Migliavacca +16 more
TL;DR: FLICK, a framework for the programming and execution of application-specific network services on multi-core CPUs, is described and evaluated with several services, showing that it achieves good performance while reducing development effort.
Book ChapterDOI
The butt of the iceberg: hidden security problems of ubiquitous systems
Frank Stajano,Jon Crowcroft +1 more
TL;DR: There is a phase change as one moves from classical distributed computing into this new environment: the mere shift in quantity of components is enough to lead to qualitative changes in aspects of security.
Journal ArticleDOI
Proactive Caching at the Edge Leveraging Influential User Detection in Cellular D2D Networks
TL;DR: A novel community detection inspired by a proactive caching scheme for device-to-device (D2D) enabled networks is investigated and it is shown that up to 30% more users can be satisfied using a proposed scheme while achieving significant reduction in backhaul traffic load.