Data dissemination on overlay networks through gossip

Gossip protocols have been analyzed as a feasible solution for data dissemination on peer-to-peer networks. In this thesis, a new data dissemination protocol is proposed and compared with other known gossip mechanisms. Performance evaluation is based on simulation.

Data dissemination over complex networks through gossip

This thesis offers a practical and theoretical evaluations about gossip-epidemic algorithms, comparing those most common in the literature with new proposed algorithms and analyzing their behavior. Tests have been executed using one hundred graphs that has been randomly generated by Large Unstructured NEtwork Simulator (LUNES), a simulation software provided by Parallel and Distributed Simulation Research Group (PADS), of the Department of Computer Science, Università di Bologna and simulated using Advanced RTI System (ARTÌS), based on the High Level Architecture standard. Literatures algorithms have been analyzed and taken as base for new algorithms.

The use of english as a lingua franca for scientific dissemination and its impact on EFL speakers with a Ph.D.

English has become the lingua franca for scientific divulgation and definitely has an impact on EFL speakers. They have to develop competences in a foreign language to publish their scientific articles and to become part of a community. Years of study, effort, and many challenges are daily present in the life of the students of the sciences. However, despite a certain skepticism, the impact English has on EFL speakers with a Ph.D. is positive: they are highly competent in a foreign language which allows them to establish better relationships around the globe and improve the world of science through collaborations and the publication of scientific articles.