Auctions have regained interest from researchers due to its different new applications (Google AdWords auctions, cloud computing auctions, privacy auctions, and white spaces spectrum auctions). In this work in particular we explore auctions for spectrum that can be allocated either to a single bidder (for licensed use) or to a collection of bidders (for unlicensed use).

While a considerable amount of research has been devoted to peer-to-peer backup and storage, no such system actually became widely adopted in the wild. My take on this is that there is the opportunity to build better, and possibly more successful, systems: while some design issues (e.g., erasure coding and data indexing) have been well explored, others have been barely scratched.

Mobile devices are energy-limited. Both industry and the research community proposed solutions to overcome these limitations with relative success at different levels such as hardware, operating system and even applications.

Autonomous, self-configuring multihop networks present a versatile solution to provide broadband services with infrastructure-less deployments and decentralized management. Furthermore, their intrinsic adaptability and resilience can be enhanced with cognitive radio technology, enabling the nodes of the network to adjust their transmitting parameters to the specific operational environment.

METFAC-2.1 is a software tool for stochastic modeling using Markov reward models, i.e. continuous-time Markov chains with a reward rate structure on their state space. The tool has been developed under the direction of Prof. Juan A. Carrasco and offers many state-of-the-art numerical methods as well as simulation methods.

The talk will cover recent results on cooperative communication schemes for ad hoc and sensor networks. We will first discuss the offline computation of optimal policies for multi-hop virtual MISO transmission for distributed ad hoc networks in the presence of channel impairments such as path loss and multipath fading. Thus, we will elaborate on heuristic and opportunistic routing policies, by comparing their performance to that of optimal routing.

The increasing adoption of Software Defined Networking, and OpenFlow in particular, brings great hope for increasing extensibility and lowering costs of deploying new network functionality. A key component in these networks is the OpenFlow agent, a piece of software that a switch runs to enable remote programmatic access to its forwarding tables. While testing high-level network functionality, the correct behavior and interoperability of any OpenFlow agent are taken for granted. However, existing tools for testing agents are not exhaustive nor systematic, and only check that the agent’s basic functionality works. In addition, the rapidly changing and sometimes vague OpenFlow specifications can result in multiple implementations that behave differently.

Mobile communications networks have been evolved through multiple technologies over a period of several decades, to a stage that they become very complicated in the context of resource control and management. The heterogeneous next generation mobile network (NGMN) now includes a variety of network technologies and topologies incorporating with one another to provide a wide range of services; operate in a variety of channel conditions and environments; and within a single universal end user device. NGMN will need to be offered as an integrated system, and to promote interoperability among networks, offer global coverage and seamless mobility, enable the use of a universal handheld terminal, and enhance service quality compared to current wired networks. NGMN will be the infrastructure of the true mobile Internet.

We focus on collaborative video streaming in wired overlay networks using low cost network codes. We propose a scheme that builds on both rateless codes and network coding in order to improve the system throughput and the video quality at clients. Our hybrid coding algorithm permits to efficiently exploit the available source and path diversity, without the need either for expensive routing or for scheduling algorithms.

If you would like more information about Dr. Tiago Camilo, please visit his Linkedin profile: http://www.linkedin.com/in/tiagocamilo

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