Statistical multiplexing of VBR sources: a matrix-analytic approach
Performance Evaluation - Special issue on performance modeling of high speed telecommunication systems
Analysis and modeling of World Wide Web traffic for capacity dimensioning of Internet access lines
Performance Evaluation - Special issue on performance and control of network systems
The complete analysis of the discrete time finite DBMAP/G/1/N queue
Performance Evaluation
The parallel optimization of network bandwidth allocation based on generalized particle model
Computer Networks: The International Journal of Computer and Telecommunications Networking
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
The parallel optimization of network bandwidth allocation based on generalized particle model
Computer Networks: The International Journal of Computer and Telecommunications Networking
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In this paper, we present a discrete-time queueing model with a Markov modulated batch Bernoulli process (MMBBP) as a bursty input traffic model of internet protocol packets in order to investigate the performance of a ATM adaptation layer (AAL) multiplexer with a finite buffer and a threshold-based dynamic bandwidth allocation scheme (DBAS): As a deterministic service time, we use the segmentation processing time devoted to a cell payload in the AAL multiplexer. This service time consists of several slot times and varies in line with threshold levels of the buffer contents. In an MMBBP process, the arrivals during a slot time occur as batch Bernoulli processes with a general distribution of batch sizes varying according to the phases of a Markov chain. We obtain the loss probability and the mean delay of an arbitrary packet. We present some numerical results to show the effects of the burstiness and thresholds on the performance of the AAL multiplexer with a DBAS.