Title
ETAQA Truncation Models for the MAP/MAP/1 Departure Process
Abstract
We propose a family of finite approximations for the departure process of a MAP/MAP/1 queue. The departure process approximations are derived via an exact aggregate solution technique (called ETAQA) applied to Quasi-Birth-Death processes (QBDs) and require only the computation of the frequently sparse fundamental-period matrix G. The approximations are indexed by a parameter n, which determines the size of the output model as n +1 QBD levels. The marginal distribution of the true departure process and the lag correlations of the interdeparture times up to lag n - 1 are preserved exactly. Via experimentation we show the applicability of the proposed approximation in traffic-based decomposition of queueing networks and investigate how correlation propagates through tandem queues.
Year
DOI
Venue
2004
10.1109/QEST.2004.17
QEST
Keywords
Field
DocType
parameter n,finite approximation,true departure process,departure process,lag correlation,correlation propagates,departure process approximation,qbd level,interdeparture time,etaqa truncation models,exact aggregate solution technique,indexation,approximation theory,sparse matrices,markov processes,queueing theory
Kendall's notation,Applied mathematics,Discrete mathematics,M/D/1 queue,Mathematical optimization,Markov process,Bulk queue,Computer science,M/D/c queue,Queueing theory,Fork–join queue,Heavy traffic approximation
Conference
ISBN
Citations 
PageRank 
0-7695-2185-1
9
0.85
References 
Authors
6
3
Name
Order
Citations
PageRank
Armin Heindl125038.19
Qi Zhang241422.77
Evgenia Smirni31857161.97