ACM CoNEXT 2008 is a major forum for future networking technologies. Previous CoNEXT Conferences have successfully encouraged original, long-term studies and contributed to the integration of networking research on an international level. The 4th ACM International Conference on emerging Networking EXperiments and Technologies (ACM CoNEXT 2008), will be hosted by the University Carlos III of Madrid. The conference will be a major forum for presentations and discussions of novel networking technologies, which are set to shape the future of Internetworking. We strive to open informative and stimulating debates between distinct international research communities. The conference is single-track and will feature a high-quality technical program, with significant opportunities for individual and small-group technical and social interactions. The main conference will also be preceded by three one-day workshops.

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.

Cellular service providers have been struggling with users’ demand since the emergence of mobile Internet. As a result, each generation of cellular network prevailed over its predecessors mainly in terms of connection speed.

5TONIC, junto con IMDEA Networks, OpenDayLight, Universidad Carlos III de Madrid (UC3M) y Telefónica anuncian la celebración del evento ‘Workshop on OpenDayLight and NFV/SDN Orchestration’, que se celebrará en la UC3M el día 19 de octubre. Este evento es patrocinado por la Fundación Linux.

Nowadays, we are experiencing a growing interest in data science, a relatively new discipline at the intersection between Statistical Learning, Engineering and Operations Research in which practitioners develop and use techniques and algorithms to extract useful insights from an increasing number of huge collections of data. However, the real challenge is not only to find proper ways to deal with the volume of data but also be able to cope with their velocity, variety, veracity and value (the so-called 5 Vs of Big Data). The majority of the datasets are characterized by a large number of high-dimensional patterns, such as those found in genetics, chemistry, finance etc. Others are also characterized by a high level of noise or missing values.

The Internet faces a fundamental resource shortage problem: We have run out of freely available IPv4 address space. Today, four out of five of the registries serving the global demand for IPv4 address space have exhausted their address reserves. Networks in need of IPv4 address space can no longer get more address allocations from their respective registries.

Se hará una demostración de avances tecnológicos logrados por el proyecto 5G-Crosshaul a representantes de Telefónica el 4 de octubre de 2016, en el Instituto IMDEA Networks.

The lack of predictive power over complex systems either designed by humans or evolved by nature, is a foundational problem in contemporary science. Real networks such as the Internet, the Web, social and biological networks, have acquired emergent large-scale properties that are beyond our full understanding, much less prediction or control. Astonishingly, these emergent properties are the same across networks from drastically different domains, and are the ones required to facilitate the optimality of some important network functions, such as information transport.

We discuss some applications of Bayesian games to interesting networking scenarios.

This thesis tackles the optimization of energy efficiency in data centers in terms of network and server utilization.