Complete characterisation of the customer delay in a queueing system with batch arrivals and batch service
Author(s) -
Dieter Claeys,
Koenraad Laevens,
Joris Walraevens,
Herwig Bruneel
Publication year - 2009
Publication title -
mathematical methods of operations research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.524
H-Index - 48
eISSN - 1432-5217
pISSN - 1432-2994
DOI - 10.1007/s00186-009-0297-2
Subject(s) - computer science , queueing theory , queueing system , service (business) , batch processing , feature (linguistics) , probability generating function , computer network , real time computing , operations research , random variable , operating system , mathematics , moment generating function , statistics , business , linguistics , philosophy , marketing
Whereas the buffer content of batch-service queueing systems has been studied extensively, the customer delay has only occasionally been studied. The few papers concerning the customer delay share the common feature that only the moments are calculated explicitly. In addition, none of these surveys consider models including the combination of batch arrivals and a server operating under the full-batch service policy (the server waits to initiate service until he can serve at full capacity). In this paper, we aim for a complete characterisation-i.e., moments and tail probabilities - of the customer delay in a discrete-time queueing system with batch arrivals and a batch server adopting the full-batch service policy. In addition, we demonstrate that the distribution of the number of customer arrivals in an arbitrary slot has a significant impact on the moments and the tail probabilities of the customer delay
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