In this paper, we propose Floating Band D2D, an adaptive framework to exploit the full potential of Device-to-Device (D2D) transmission modes.

Mobile data traffic is increasing rapidly and wire- less spectrum is becoming a more and more scarce resource. 

In this paper we challenge the common evaluation practices used for Virtual Machine (VM) consolidation, such as simulation and small testbeds, which fail to capture the fundamental trade-off between energy consumption and performance. We identify a number of over-simplifying assumptions which are typically made about the energy consumption and performance characteristics of modern networked systems.

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.

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.

In this talk, we introduce the OpenVLC, a software-defined open-source research platform for Visible Light Communication (VLC) networks. Built around the embedded Linux platform BeagleBone Black together with simple optoelectronic transceiver front-end, OpenVLC offers a basic physical layer, a set of essential medium access primitives, as well as interoperability with Internet protocols.

 A highly interesting trend in mobile network optimization is to exploit knowledge of future network capacity to allow mobile terminals to prefetch data when signal quality is high and to refrain from communication when signal quality is low. While this approach offers remarkable benefits, it relies on the availability of a reliable forecast of system conditions.

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.

The Internet is a messy, complex landscape. Middleboxes such as DNS resolvers, UPnP home gateways, and in-path proxies placed in the IP core of the operators' networks can significantly
impair a user's access despite being designed for the contrary.

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).