Despite the growing popularity of virtualized services, privacy in the cloud remains an unresolved problem. Companies, such as Turbo Tax, are selling services that prepare income tax returns on-line, in the cloud. However, when the Turbo Tax computer site is compromised, all of its customer’s personal data will be released. Experience dictates that all computer sites are eventually hacked or compromised by human failures.

In today’s vertiginous business landscape, organizations are constantly looking at ways of introducing agility and cost efficiencies.

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.

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.

Tablets and smartphones have become the favorite gateway to the Internet for a majority of users. Being equipped with plenty of sensors, these devices enable far more than traditional web browsing.

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

Recently, the University of Leon with the support of the Spanish National Institute of Cybersecurity has established the Research Institute of Applied Sciences in Cybersecurity (RIASC). This new institute has three main missions: research, education and transfer technology in cybersecurity. In this framework, RIASC has launched (jointly with other national and international institutions) the research Project MITHRA – “Multi-distributed Intelligence Towards Higher Resilience Assets”. 

 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.

On April 22nd, 2015, IMDEA Networks and Telefonica, in collaboration with the SEPI Foundation, launch a new edition of the Talentum Startups program.

Many data collection protocols have been proposed to cater for the energy-efficient flow of sensor data from distributed sources to a sink node. However, the transmission of control commands from the sink to one or only a small set of nodes in the network is generally unsupported by these protocols.