is a professor in the Department of Computer Science at IME / USP since February 2011. He has experience in Computer Science with emphasis in Computer Networking, acting on the following topics: performance evaluation, traffic engineering, grids, clouds and virtualization. Daniel also supports and encourages the use of free software. (Source: Lattes Curriculum)
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The shifts in mobile telecommunications infrastructure paradigms and capabilities brought with the fifth generation (5G) have heightened interest and anticipated the development of the next generations, identified as Beyond 5G (B5G). Massive Machine Type Communication (mMTC) and Ultra-Reliable and Low Latency Communication (URLLC) stand out as use cases for these next generations. Common …
Smart cities aim to improve the quality of life of citizens as well as providing a sustainable environment. Since communication between the various components of a smart city is necessary for its operation, a tool on which these cities have been built is the Internet of Things (IoT). Despite the interest in expanding and improving solutions for smart cities and IoT, observed by the invest…
Comparing hashes is an important operation in digital security, but tedious and error-prone when hashes are in the form of hexadecimal strings. This project aims to advance the state of the art in comparison of hashes with animations. The hashify software, resulting from a Capstone Project from IME-USP, will be used as a base. An extensive performance evaluation of hashify will be realize…
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CV Lattes
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