1984•ACM SIGMETRICS Performance Evaluation ReviewRequires access

A new 'building block' for performance evaluation of queueing networks with finite buffers

Rajan Suri, Gregory W. Diehl

Open publisher page 28 citations

Abstract

We propose a new 'building block', for analyzing queueing networks. This is a model of a server with a variable buffer-size. Such a model enables efficient analysis of certain queueing networks with blocking due to limited buffer spaces, since it uses only product-form submodels. The technique is extensively tested, and found to be reasonably accurate over a wide range of parameters. Several examples are given, illustrating practical situations for which our model would prove to be a useful performance analysis tool, specially since it is simple to understand, and easy to implement using standard software for closed queueing networks.

About this research paper

What this paper is about

We propose a new 'building block', for analyzing queueing networks. This is a model of a server with a variable buffer-size. Such a model enables efficient analysis of certain queueing networks with blocking due to limited buffer spaces, since it uses only product-form submodels. The technique is extensively tested, and found to be reasonably accurate over a wide range of parameters. Several examples are given, illustrating practical situations for which our model would prove to be a useful performance analysis tool, specially since it is simple to understand, and easy to implement using standard software for closed queueing networks.

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OpenAlex reports 28 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

We propose a new 'building block', for analyzing queueing networks. This is a model of a server with a variable buffer-size. Such a model enables efficient analysis of certain queueing networks with blocking due to limited buffer spaces, since it uses only product-form submodels. The technique is extensively tested, and found to be reasonably accurate over a wide range of parameters. Several examples are given, illustrating practical situations for which our model would prove to be a useful performance analysis tool, specially since it is simple to understand, and easy to implement using standard software for closed queueing networks.

Key concepts: Queueing theory, Layered queueing network, Computer science, Block (permutation group theory), Mean value analysis, G-network, Simple (philosophy), Blocking (statistics)

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