Section: New Results

Software Radio Programming Model

Software defined radio (SDR) technology has evolved rapidly and is now reaching market maturity. Still, a lot of issues have yet to be studied. Mickaël Dardaillon, Kevin Marquet, Tanguy Risset and others highlighted the constraints imposed by recent radio protocols and presented current architectures, solutions, and challenges for programming SDR [31] .

To enable dynamic adaptation of computation intensive multimedia dataflow applications, Lionel Morel, Kevin Marquet and others have studied language extensions, together with the corresponding run-time support. They show that this approach can be used to monitor and control throughput [20] and offer quality of service [29] , with a low impact on the overall performance.

Guillaume Salagnac and others address the tradeoff between energy consumption and localization performance in a mobile sensor network application [7] . The focus is on augmenting GPS location with more energy-efficient location sensors to bound position estimate uncertainty while GPS is off. Such combined strategies can cut node energy consumption by one third while still meeting application-specific positioning criteria.

In the context of shared hosting or virtualization, where multiple users run uncoordinated and selfish workloads, François Goichon, Guillaume Salagnac and Stéphane Frénot introduced an accounting layer that forces swap fairness among processes competing for main memory [13] . It ensures that a process cannot monopolize the swap subsystem by delaying the swap operations of abusive processes, reducing the number of system-wide page faults while maximizing memory utilization.