Performance evaluation of an adaptive-rate MPEG encoder matching intserv traffic constraints
IEEE/ACM Transactions on Networking (TON)
IWDC '01 Proceedings of the Thyrrhenian International Workshop on Digital Communications: Evolutionary Trends of the Internet
Computer Networks: The International Journal of Computer and Telecommunications Networking
A protocol with transcoding to support QoS over Internet for multimedia traffic
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
An efficient parallel optimization algorithm for the Token Bucket control mechanism
Computer Communications
Computer Networks: The International Journal of Computer and Telecommunications Networking
IEEE Journal on Selected Areas in Communications
Future internet video multicasting with essentially perfect resource utilization and QoS guarantees
Proceedings of the Nineteenth International Workshop on Quality of Service
Evaluation of token bucket parameters for VBR MPEG video
PCM'04 Proceedings of the 5th Pacific Rim Conference on Advances in Multimedia Information Processing - Volume Part II
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Guarantees of quality-of-service (QoS) in the real-time transmission of stored video on the Internet is a challenging task for the success of many video on demand (VoD) applications. Two QoS classes have been specified by the IETF Integrated Services (intserv) Working Group: Guaranteed Services and Controlled-Load Services. For both of them, it is necessary to provide traffic sources with the capability of calculating the traffic characteristics to be declared to the network, Tspec, on the basis of a limited set of parameters statistically characterizing the traffic and the required level of QoS. The target of this paper is to develop an algorithm for the evaluation of the Tspec parameters which characterize the video stream when a given QoS is required. To this end an analytical framework modeling an MPEG stored-video server and the access network node is introduced. The video emission process is modeled with a switched batch Bernoulli process (SBBP), and performance in the video-server smoother is analytically evaluated. Then the token bucket at the network access point, loaded by the output traffic of the video-server smoother, is modeled to calculate the probability of marking nonconforming data packets