Many software security solutions require accurate tracking of control/data dependencies among information objects in network applications. This paper presents a general dynamic in...
Dynamic Parallel Schedules (DPS) is a flow graph based framework for developing parallel applications on clusters of workstations. The DPS flow graph execution model enables automa...
Sebastian Gerlach, Basile Schaeli, Roger D. Hersch
In this paper, we investigate the use of reinforcement learning (RL) techniques to the problem of determining dynamic prices in an electronic retail market. As representative mode...
In today’s world, stream processing systems have become important, as applications like media broadcasting, sensor network monitoring and on-line data analysis increasingly rely...
Dynamic Thermal Management (DTM) techniques have been proposed to save on thermal packaging and cooling costs for generalpurpose processors. However, when invoked, these technique...