Redes-definidas por software (SDN) introduzem um paradigma de controle de redes que é centralizado em um software controlador, que se comunica com dispositivos de rede através de protocolos padronizados para configurar ...

The population growth combined with the industrial development and the increasing consumption caused several problems related to the solid waste management such as inadequate disposal. Due to global pressures and new polices ...

With the rapid growth of unstructured data, such as text documents, it becomes more and more interesting and necessary to extract such information to support decision making in business intelligence systems. Recommendations ...

The use of small mobile devices such as smartphones and tablets has been growing in various public in Brazil. Even though many devices have features such as touch, gestures, voice, many applications do not adopt such ...

Multicore processors adoption is due to the need of expansion on the computational capacity, what have been done in mobile devices, due to the high availability of online applications in such devices. Elliptic curve ...

Paxos is an active replication algorithm that keeps the same shared state consistently among servers that handle requests from an application. It is unusual to find applications where the main processing happens through a ...

This Master s thesis shows a solution for splitting MPTCP subflows in an Openflow network. MPTCP is a network protocol designed to branch a single TCP connection into many subflows. The main idea is to forward subflows th- ...

Cloud computing is a convenient computing model, because it allows the ubiquity with on-demand access to a set of configurable and shared features, that can be rapidly provisioned and made available with minimal effort or ...

The objective of this research is to show how distributed, cohesive and coupled applications can be developed. The proposal is to use metaprogramming technics in compilation to automate part of the applications source code ...

For the last decades, many Machine Learning methods have been proposed aiming categorizing data. Given many tentative models, those methods try to find the one that fits the dataset by building a hypothesis that predicts ...