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G-networks: A versatile approach for work removal in queueing networks

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Artalejo, Jesús R. (2000) G-networks: A versatile approach for work removal in queueing networks. European Journal Of Operational Research, 126 (2). pp. 233-249. ISSN 0377-2217

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Official URL: http://www.sciencedirect.com/science/article/pii/S0377221799004762


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Abstract

G-networks (or queueingnetworks with negative customers, signals, triggers, etc.) are characterized by the following feature: in contrast with the normal positive customers, negative customers arriving to a non-empty queue remove an amount of work from the queue. In its simplest version, a negative customer deletes an ordinary positive customer according to some strategy. Extensions of the model result when a negative customer removes a random batch of customers, all the work from the queue or indeed a random amount of work that does not necessarily correspond to an integer number of positive customers. Since Gelenbe (E. Gelenbe, Neural Computation 1 (1989) 502–510; E. Gelenbe, Journal of Applied Probability 28 (1991) 656–663) introduced the notion of negative customers, there has been an increasing interest not only in queueingnetworks but also in the single server node case. Significant progress in the analysis of this versatile class of networks has enriched queueing theory as well as contributed to the development of real applications in fields such as computers, communications and manufacturing. This paper presents a survey of the main results and methods of the theory of G-networks.


Item Type:Article
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This research was supported by the European Commission under INTAS 96-0828 and the DGICYT under PB98-0837.

Uncontrolled Keywords:G-networks; Workremoval; Product form; Single node queues
Subjects:Sciences > Mathematics > Operations research
ID Code:15850
Deposited On:06 Jul 2012 08:56
Last Modified:26 Feb 2019 11:16

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