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Defensa Tesis Doctoral: Analytical characterization of in-band and out-band D2D communications for network access

Cooperative short-range communication schemes provide powerful tools to solve interference and resource shortage problems in wireless access networks. With such schemes, a mobile node with excellent cellular connectivity can momentarily accept to relay traffic for its neighbors experiencing poor radio conditions and use Device-to-Device

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Defensa Tesis Doctoral: Achieving Reliability and Fairness in Online Task Computing Environments

We consider online task computing environments such as volunteer computing platforms running on BOINC (e.g., SETI@home) and crowdsourcing platforms such as Amazon’s Mechanical Turk. We model the computations as an Internet-based task computing system under the master-worker paradigm. A master entity sends tasks across the Internet, to worker entities willing to perform a computational task. 

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Recent advances on hybrid Open-Flow/All-Path switches and Path Discovery protocols (AOSS, TCP-Path, Multiple Disjoint Paths)

After a number of years of its launch, OpenFlow does not yet provide deployable alternatives but it has fully changed the conceptual approach to manage and control networks.

Networks

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Network Cloudification: SDN-NFV and 5G-MEC with Edge and Fog Computing

The second wave of cloud computing, named network cloudification, in the forms of SDN (Software Defined Networking), NFV (Network Function Virtualization), and 5G-MEC (Mobile Edge Computing), is to centralize and virtualize networking into data centers.

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Defensa Tesis Doctoral: Analyzing the Behavior of Students Regarding Learning Activities, Badges, and Academic Dishonesty in MOOC Environments

The 'big data' scene has brought new improvement opportunities to most products and services, including education. Web-based learning has become very widespread over the last decade, which in conjunction with the MOOC phenomenon, it has enabled the collection of large and rich data samples regarding the interaction of students with these educational online environments. 

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Defensa Tesis Doctoral: Prediction-based techniques for the optimization of mobile networks

Mobile cellular networks are complex system whose behavior is characterized by the superposition of several random phenomena, most of which, related to human activities, such as mobility, communications and network usage. However, when observed in their totality, the many individual components merge into more deterministic patterns and trends start to be identifiable and predictable.

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