Computing packets priority in Diffserv networks using Cuda technology

The purpose of this paper is to evaluate the performance of GPU using in a router for a DiffServ-based network for video conferences using G729 and H264 standards for voice codec and video codec, respectively. The speech and video quality is improved by assigning a priority to each voice and video packet to the edge router of the network. The importance of a packet is determined differently for voice and video. A priority is assigned to the packet according to its importance, which ensures that important packets are more robust during transmission. The priority is computed using graphic processing units (GPU), in a parallel manner, using Compute Unified Device Architecture (CUDA) and therefore the performance is increased.