Design space exploration of embedded systems typically focuses on classical design goals such as cost, timing, buffer sizes, and power consumption. Robustness criteria, i.e. sensi...
Abstract. Our goal is to extract consistent bits from the same fingerprint in a noisy environment. Such bits can then be used as a secret key in several cryptographic applications...
This paper is about Reinforcement Learning (RL) applied to online parameter tuning in Stochastic Local Search (SLS) methods. In particular a novel application of RL is considered i...
In this paper we consider the problem of maximising utility in linked market-driven distributed and Grid systems. In such systems, users submit jobs through brokers who can virtua...
In recent years, existing computing schemes and paradigms have evolved towards more flexible, ad-hoc scalable frameworks. Nowadays, exchanging interactions between entities often ...