Effective bandwidths at multi-class queues
Queueing Systems: Theory and Applications
Markov-modulated rate processes for modeling, analysis and control of communication networks
Markov-modulated rate processes for modeling, analysis and control of communication networks
Effective bandwidths for multiclass Markov fluids and other ATM sources
IEEE/ACM Transactions on Networking (TON)
A histogram-based model for video traffic behavior in an ATM multiplexer
IEEE/ACM Transactions on Networking (TON)
Second moment resource allocation in multi-service networks
SIGMETRICS '97 Proceedings of the 1997 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Scheduling of real-time traffic in IEEE 802.11 wireless LANs
Wireless Networks
Loss probability calculations and asymptotic analysis for finite buffer multiplexers
IEEE/ACM Transactions on Networking (TON)
A New Method to Determine the Queue Length Distribution at an ATM Multiplexer
INFOCOM '97 Proceedings of the INFOCOM '97. Sixteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Driving the Information Revolution
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In this paper we develop a simple and accurate analytical technique to determine the loss probability at an access node to an ATM network. This is an important problem from the point of view of admission control and network design. The arrival processes we analyze are the Markov Modulated Poisson Processes (MMPP) and the Markov Modulated Fluid (MMF) processes which are important in modeling various traffic types, such as voice, video, and still images. Our hybrid analytical technique combines results from large buffer theories and quasi-stationary approaches to analyze the loss probability of a finite buffer queue. Our technique is shown to be valid even for heterogeneous sources. We also show that capacity allocation based on the popular effective bandwidth scheme can lead to considerable underutilization of the network, and that allocating bandwidth based on our model can improve the utilization significantly. We provide numerical results for different types of traffic and validate our model via simulations.