Real measurements in high-speed communications networks have recently shown that traffic may demonstrate properties of long-range dependency peculiar to self-similar stochastic pr...
We analyze algorithms that predict a binary value by combining the predictions of several prediction strategies, called experts. Our analysis is for worst-case situations, i.e., we...
In this paper, we develop a new "robust mixing" framework for reasoning about adversarially modified Markov Chains (AMMC). Let P be the transition matrix of an irreducib...
Recently, Linear Programming (LP)-based relaxations have been shown promising in boosting the performance of exact MAX-SAT solvers. We compare Semidefinite Programming (SDP) based ...
Carla P. Gomes, Willem Jan van Hoeve, Lucian Leahu
In this paper, we propose a simulation-based methodology for worst-case response time estimation of distributed realtime systems. Schedulability analysis produces pessimistic uppe...
Soheil Samii, Sergiu Rafiliu, Petru Eles, Zebo Pen...