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.

Los datos masivos o datos a gran escala (Big Data) y la computación en la nube (Cloud Computing) son dos paradigmas que están evolucionando codo con codo y revolucionando como vivimos y trabajamos. La cantidad de datos que se genera en el mundo aumenta cada día, y no hay indicios de que esta tendencia se vaya a detener a corto plazo (o nunca).