Itecc marie curie biography

Abstract:
The problem of allocating resources over time to different demands in a "fair" way, is present in many application domains. If the resource can be allocated with an arbitrarily fine granularity at no cost, then any type of resource allocation can be achieved (we call this scheme fluid for its resemblance to water). Instead, if the resource has some coarse granularity, then the fluid resource allocation can only be approximated. The notion of lag measures the distance between the fluid schedule and the real
schedule which can be actually achieved.

In this presentation, we illustrate the Adaptive Fair Schedule (AFS), which is capable to achieve a bounded lag in presence of time overhead, and uncertainties in the resource allocation. Thanks to its generality, AFS can be applied to many different application domains. The application to thermal management will be briefly illustrated.

Bio:
Enrico Bini is Associate Professor at University di Torino, Dept. of Computer Science. Until very recently, he was Assistant Professor at Scuola Superiore Sant'Anna (Real-Time Syste

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