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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.

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Relative Delay Estimator for SCTP-Based Concurrent Multipath Transfer

TL;DR: A Relative Delay Estimator (RDE) is proposed to compare the relative one way delay of different paths without clock synchronisation to enable the comparison and selection of the best forward and backward paths, in terms of delay.
Proceedings ArticleDOI

Components for distributed virtual environments

TL;DR: The Java Adaptive Dynamic Environment (JADE) is presented as an alternative to the traditional approach for developing a core infrastructure for VE systems, and consists of a light-weight cross-platform kernel with inherent capabilities for dynamic extensibility in run-time.
Posted Content

Differentially Private Health Tokens for Estimating COVID-19 Risk

TL;DR: It is shown that health tokens could mitigate immunity-based discrimination whilst still presenting a viable mechanism for estimating the collective transmission risk posed by small groups of users, and can be useful in a number of identity-free contexts.

Ising model of rumour spreading in interacting communities

TL;DR: The Ising model is applied to synthetic networks as well as various real world data ranging from human physical contact networks to online social networks and demonstrates two distinct scenarios of phase transitions characterised by the presence of strong memory effects when the graph and coupling parameters are above a critical threshold.
Posted Content

Valorising the IoT Databox: Creating Value for Everyone

TL;DR: The research challenges in building personal Databoxes that hold personal data and enable data access by other parties and potentially thus sharing of data with other parties are reviewed.