The GTA/UFRJ team, headed by Prof. Otto Carlos, developed the tool called “CATRACA: a scalable traffic classifier and analyzer” for analyzing big stream data and classifying in real-time threat from normal network traffic. The work developed by the team of Prof. Duarte was recently awarded with the “Best Tool Award” during the Simpósio Brasileiro em Segurança da Informação e de Sistemas Computacionais (SBSeg’2017). Moreover, the research has been going on for two years and it was also awarded with the “Best Paper Award” of the 1st Cyber Security in Networking Conference (CSNet’2017) on October 2017, with the paper “Collecting and Characterizing a Real Broadband Access Network Traffic Dataset”. Success of the research is acknowledged to a joint work of the Prof. Otto Carlos Duarte’s team, Martin Andreoni, Antonio Lobato, Igor Alvarenga, Gabriel Rebello, Igor Sanz, and Diogo Mattos, with the Prof. Guy Pujolle (LIP6/UPMC – Paris, France).
For more information about CATRACA, access https://www.gta.ufrj.br/catrac
When: Friday, December 15h, 2017, 3:00 PM.
Speaker: Rodrigo Izidoro Tinini (IME/USP).
Abstract: In the context of future Cloud Radio Access Networks (CRAN), optical networks will play an important role to provide the required transport capacity between cell-sites and processing pools, especially for future 5G scenarios. For instance, using CPRI fronthaul technologies a single antenna element can generate data up to 24.3Gbps even with current configurations of radio transmissions, and it is expected to generate up to Tbps with the advance of technology. So, the transport segment of a 5G network needs to be accurately planned to accomodate all the generated traffic. In this work, we propose the use of a Passive Optical Network jointly with the emergent paradigms of Fog Computing and NFV to energy-efficiently support the high traffic transported in emergent mobile networks in an hybrid architecture called Cloud/Fog RAN (CF-RAN) that allows local and remote baseband processing. We introduce an Integer Linear Programming (ILP) model to schedule the processing of CPRI demands among the processing nodes of the network and turn on or off processing functions on demand. Our approach is able to accomodate demands on the nodes of the network in the most energy efficient way. We compare our results with CRAN and distributed architectures (DRAN) and show that an energy efficient planning can achieve considerable gains in energy consumption.
Aplicativos arrumam caronas e rotas de transporte; conheça os melhores em https://noticias.r7.com/tecnologia-e-ciencia/apps-modernos-mostram-como-a-tecnologia-transformara-as-cidades-23112017
When: Friday, November 24th, 2017, 4:00 PM.
Where: Anfiteatro do Centro de Informática da UFPE.
Assista o vídeo completo do painel em https://www.youtube.com/watch?v=YJLz3wcbjV0&feature=youtu.be&t=6m
Moderador: Alfredo Goldman (IME-USP e INCT InterSCity)
Claudio Pinhanez (Computação Cognitiva – IBM Research São Paulo)
Marcelo Finger (IA – IME/USP)
Pedro Henrique Ramos (Direito Digital – Batista Luz Advogados)
Luli Radfahrer (Comunicação – ECA/USP)
Gabriel Poli Figueiredo (Arquitetura e Urbanismo – FAU-USP)
Todos os interessados são bem-vindos!
Semana Nacional de Ciência e Tecnologia.
Quando: Quinta-feira, 26 de Outubro às 10h.
Onde: EACH | USP (Auditório Verde).
As atividades de mobilidade urbana, como a operação de serviços de transporte público, são grandes produtoras de dados. Parte desses dados é disponibilizada pela prefeitura de São Paulo como dados governamentais abertos, o que também demonstra a importância da mobilidade urbana para políticas de governo aberto e transparência governamental. O painel ora proposto pretende apresentar as possibilidades de aperfeiçoamento, uso e publicação de dados sobre mobilidade urbana referentes ao município de São Paulo.
Semana Nacional de Ciência e Tecnologia.
Quando: Sábado, 28 de Outubro às 9h.
Onde: Centro de Difusão Internacional da USP.
O grupo Hardware Livre apresentará seus projetos desenvolvidos ao longo dos anos envolvendo placas como Arduino, Raspberry Pi e Intel Galileo, além de soluções utilizando impressora 3D, Internet das Coisas e interfaces musicais. Os participantes poderão interagir com os projetos que vão desde protótipos de soluções científicas a vídeo games. Dentre os projetos apresentados, teremos uma potente mini centrífuga, um cluster de hardware livre, o Genius, e um teclado de drivers de disquetes. Todos os projetos apresentados são livres e podem ser reproduzidos por quem tiver interesse.
Prof. Otto Duarte, InterSCity member, will be the General Chair of the 1st Cyber Security in Networking Conference.
Prof. Alex Telea offered a presentation on how to unify scientific visualization (SciVis) and information visualization (InfoVis).
When: Thursday, September 28th, 2017, 2:00 PM.
Where: Auditório Jacy Monteiro, IME- USP.
Abstract: For decades, scientific visualization (SciVis) and information visualization (InfoVis) have been related, but still distinctly separated disciplines. Methods and techniques in the two areas have developed relatively separately, causing an arguably unnecessarily separation in the visualization field. Attempts for unification exist, but are largely based on heuristics, and subject to critique from both the SciVis and InfoVis angles. In this talk, we argue that this separation is not necessary, and, up to large extents, artificial. More specifically, we argue that the difference between SciVis and InfoVis is not a matter of design decisions only, but, more centrally, a matter of representing the structure of large data collections by means of smooth, continuous, encodings. We present a way to cast InfoVis along the same principles as the more classical SciVis, based on a continuous, multiscale, spatial representation of data. Putting it simply, we argue that visualizing large amounts of InfoVis data can use encoding techniques which share the same continuity and multiscale principles as most classical spatial SciVis (or image processing) methods use. In turn, we show how this is possible by means of defining appropriate similarity metrics and encoding principles for InfoVis data. This leverages a wealth of data simplification, encoding, and perception principles, since long available for SciVis data, for the richer realm of InfoVis data. We demonstrate our image-based paradigm by examples covering the visualization of relational, multidimensional, and time-dependent InfoVis data.
Mini-bio: Prof. Alex Telea has obtained his PhD in data visualization at the University of Eindhoven in 2000, where he worked next as assistant professor in the same field until 2007. Since then, he is full professor of multiscale visual analytics at the University of Groningen, the Netherlands. His research interests are at the crossroads of multiscale image and shape processing and information visualization and visual analytics. He has published over 200 papers on the above topics, and is the author of the textbook ‘Data Visualization — Principles and Practice’ (CRC Press, 2008, 2014).