In the last years, the commercial deployment of data services in mobile networks has been evolving quickly, providing enhanced radio access technologies and more efficient network architectures.

Spectrum scarcity and ever increasing densities of wireless network deployments have recently led to an opening of the 60 GHz millimeter-wave bands for unlicensed communication. In contrast to the previously used ISM bands below 5 GHz, a massive amount of 6-9 GHz of bandwidth is available at these frequencies. Usage of these resources is considered for wireless LAN and 5G cellular networks and with the ratification of the IEEE 802.11ad standard in December 2012, wireless LAN is about to bring millimeter-wave communication to the commercial market.

Networking research and development is an important field in information technology and its importance grows with the rise of the Internet and the ubiquity of worldwide communication.

Distributed Storage Systems ensure data availability and survivability be replicating data in geographically disperse storage devices. Replication allows multiple processes to access the data concurrently each communicating with different storage device.

In this work, propagation dynamics on social networks are studied in order to identify the most influential users. For this purpose, diffusion data has been collected during 4 weeks from a microblogging OSN (online social network) called Tumblr.

In this presentation we will explain a new mathematical procedure for the automatic discovery of interesting research questions. We propose to classify research topics according to their relevance (how important is the topic) and nescience (a measure of our current understanding of that topic).

With the rise of cloud computing, data centers have been called to play a main role in the Internet scenario nowadays. Despite this relevance, they are probably far from their zenith yet due to the ever increasing demand of contents to be stored in and distributed by the cloud, the need of computing power or the larger and larger amounts of data being analyzed by top companies such as Google, Microsoft or Amazon.

We present a first fully analytical approach to performance evaluation of D2D communication systems, which does not assume transmitters to have always a packet to transmit. In particular, we adopt a Coupled Processors model to describe a cellular scenario with D2D users sharing radio resources with cellular users, i.e., adopting in-band underlay D2D schemes. We derive sufficient conditions for stability of such system, and we characterize the effects of D2D transmissions on cellular user performances.

Traditional distance vector routing and efficient flooding-based routing can be considered the two ends of the routing continuum in wireless sensor networks. The former uses a graph metaphor to find the best paths between the end-points in a network.

The trend toward more peering between networks is commonly conflated with the trend of Internet flattening, i.e., reduction in the number of intermediary organizations on Internet paths. Indeed, direct peering interconnections bypass layer-3 transit providers and make the Internet flatter.