32nd Brazilian Symposium on
Computer Networks and Distributed Systems

Florianopolis - Brazil, May 5-9, 2014
Short Course 2: DMZ Científica: Desafios e modelos de gerenciamento de aplicações de alto volume de dados no contexto de e-ciência

Authors: Tereza Carvalho, Marcos Simplicio Jr, Fernando Redigolo, Marco Rojas e Dino Magri (USP)

Date and Time: May 5, 2014 (Monday), 2:00pm to 6:00pm


The advent of e-Science and Big Data applications brought the need of working with increasingly larger datasets, generated from sensors, specialized scientific equipment and high-performance computing centers. This growth, as well as the increasing need of collaboration and resource distribution among research institutions, makes data movement critical for enabling e-Science. This work presents the challenges brought by e-Science applications for today's networks, focusing on the network model proposed to assist in these challenges called Science DMZ, its architectural and security aspects, as well as current and future technologies for its implementation and deployment.