Regret minimization has proven to be a very powerful tool in both computational learning theory and online algorithms. Regret minimization algorithms can guarantee, for a single de...
We consider a system with two service classes with heterogeneous traffic characteristics and Quality-of-Service requirements. The available bandwidth is shared between the two tra...
We investigate an optimal scheduling problem in a discrete-time system of L parallel queues that are served by K identical servers. This model has been widely used in studies of em...
Hussein Al-Zubaidy, Ioannis Lambadaris, Ioannis Vi...
The aIOLi project aims at optimizing the I/O accesses within the cluster by providing a simple POSIX API, thus avoiding the constraints to use a dedicated parallel I/O library. Th...
Abstract. The shared-cache contention on Chip Multiprocessors causes performance degradation to applications and hurts system fairness. Many previously proposed solutions schedule ...