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A fluid model with data message discarding

Part of: Special processes Operations research and management science

Published online by Cambridge University Press:  01 July 2016

Bin Liu  and
Attahiru Sule Alfa
Bin Liu*
Affiliation:
University of Windsor and Chinese Academy of Sciences
Attahiru Sule Alfa*
Affiliation:
University of Windsor
*
∗ Postal address: Department of Industrial and Manufacturing Systems Engineering, University of Windsor, Windsor, Ontario, Canada N9B 3P4.
∗ Postal address: Department of Industrial and Manufacturing Systems Engineering, University of Windsor, Windsor, Ontario, Canada N9B 3P4.
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Abstract

In this paper, we study a fluid model with partial message discarding and early message discarding, in which a finite buffer receives data (or information) from N independent on/off sources. All data generated by a source during one of its on periods is considered as a complete message. Our discarding scheme consists of two parts: (i) whenever some data belonging to a message has been lost due to overflow of the buffer, the remaining portion of this message will be discarded, and (ii) as long as the buffer content surpasses a certain threshold value at the instant an on period starts, all information generated during this on period will be discarded. By applying level-crossing techniques, we derive the equations for determining the system's stationary distribution. Further, two important performance measures, the probability of messages being transmitted successfully and the goodput of the system, are obtained. Numerical results are provided to demonstrate the effect of control parameters on the performance of the system.

Keywords

Fluid modelmessage discardingon/off sourcelevel crossing

MSC classification

Primary: 90B18: Communication networks
Secondary: 60K30: Applications (congestion, allocation, storage, traffic, etc.)

Information

Type
General Applied Probability
Information
Advances in Applied Probability , Volume 34 , Issue 2 , June 2002 , pp. 329 - 348
Copyright
Copyright © Applied Probability Trust 2002 

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