Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
A novel energy reduction strategy to maximally exploit the dynamic workload variation is proposed for the offline voltage scheduling of preemptive systems. The idea is to construc...
Dynamic binary translation (DBT) has been used to achieve numerous goals (e.g., better performance) for general-purpose computers. Recently, DBT has also attracted attention for e...
Abstract--In peer-to-peer (P2P) live streaming using unstructured mesh, packet scheduling is an important factor in overall playback delay. In this paper, we propose a scheduling a...
Tammy Kam-Hung Chan, Shueng-Han Gary Chan, Ali C. ...