Bruno Astuto A. Nunes

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The idea of programmable networks has recently regained considerable momentum due to the emergence of the Software-Defined Networking (SDN) paradigm. SDN, often referred to as a “radical new idea in networking”, promises to dramatically simplify network management and enable innovation through network programmability. This paper surveys the stateof-the-art(More)
In this work we present a <i>calibration-free</i> system for locating wireless local area network devices, based on the radio frequency characteristics of such networks. Calibration procedures are applied in a great number of proposed location techniques and are considered to be not practical or a considerable barrier to wider adoption of such methods.(More)
In this paper, we explore a novel approach to end-to-end round-trip time (RTT) estimation using a machine-learning technique known as the Experts Framework. In our proposal, each of several ``experts'' guesses a fixed value. The weighted average of these guesses estimates the RTT, with the weights updated after every RTT measurement based on the difference(More)
In this paper analyzed WLAN-, GPS-, and synthetic traces that record mobility in a variety of network environments. We observe that from a macroscopic level, human mobility is symmetric. In other words, the number of users that move from point A to point B approximates the number of users that go in the opposite direction, i.e., from B to A. We show that(More)
User mobility is of critical importance when designing mobile networks. In particular, ‘‘waypoint’’ mobility has been widely used as a simple way to describe how humans move. This paper introduces the first modeling framework to model waypoint-based mobility. The proposed framework is simple, yet general enough to model any waypoint-based mobility regimes.(More)
During the last decade, the success and popularity of wireless standards such as IEEE 802.11 have drawn the attention of the research community to wireless networks. A great amount of effort has been invested into research in this area, most of which relies heavily on simulation and analysis techniques. However, simulations do not precisely control hardware(More)
This paper proposes a novel approach to capacity sharing in hybrid networked environments, i.e., environments that consist of infrastructure-based as well as infrastructureless networks. The proposed framework is based on Software-Defined Networking (SDN) and provides flexible, efficient, and secure capacity sharing solutions in a variety of hybrid network(More)
Software–Defined Networking (SDN) has been proposed as a way to programmatically control networks, making it easier to deploy new applications and services, as well as tune network policy and performance. The key idea behind SDN is to decouple the datafrom the control plane by: (1) removing control decisions from the forwarding hardware, (2) allowing the(More)
In this paper we show that human mobility exhibits “persistent” behavior in terms of the spatial density distribution of the mobile nodes over time. Using real mobility traces, we observe that the original non-homogeneous node spatial density distribution, where some regions may be quite dense while others may be completely deserted, is maintained at(More)
In this paper, we discuss User Centric Networks (UCNs) as a way of, if not completely solving, considerably mitigating the problem of sharing limited network capacity and resources efficiently and fairly. UCNs are self-organizing networks where the end-user plays an active role in delivering networking functions such as providing Internet access to other(More)