Our research addresses two important problems that arise in modern large-scale distributed systems: (1) the necessity to virtualize their data flows by applying actions such as ď...
Radhika Niranjan, Ada Gavrilovska, Karsten Schwan,...
The recent improvements in workstation and interconnection network performance have popularized the clusters of off-the-shelf workstations. However, the usefulness of these cluste...
Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...
Cache hierarchies have been traditionally designed for usage by a single application, thread or core. As multi-threaded (MT) and multi-core (CMP) platform architectures emerge and...
Content-based publish/subscribe systems allow matching the content of events with predicates in the subscriptions. However, most existing systems only allow a limited set of opera...