TY - CHAP
T1 - Stability of join-the-shortest-queue networks
T2 - Analysis by fluid limits
AU - Dai, J. G.
AU - Hasenbein, John J.
AU - Kim, Bara
PY - 2011
Y1 - 2011
N2 - The standard fluid model tool is employed to investigate stability behavior in a variant of a generalized Jackson queueing network. In the network, some customers use a join-the-shortest-queue policy when entering the network or moving to the next station. Furthermore, we allow interarrival and service times to have general distributions. For networks with two stations, necessary and sufficient conditions are given for positive Harris recurrence of the network process. These conditions involve only the mean values of the network primitives. Two counterexamplesare provided to show that more information on distributions and tie-breaking probabilities is needed for networks with more than two stations, in order to characterize the stability of such systems. However, if the routing probabilities in the network satisfy a certain homogeneity condition, then it is proved that the stability behavior can be explicitly determined, again using the mean value parameters of the network.
AB - The standard fluid model tool is employed to investigate stability behavior in a variant of a generalized Jackson queueing network. In the network, some customers use a join-the-shortest-queue policy when entering the network or moving to the next station. Furthermore, we allow interarrival and service times to have general distributions. For networks with two stations, necessary and sufficient conditions are given for positive Harris recurrence of the network process. These conditions involve only the mean values of the network primitives. Two counterexamplesare provided to show that more information on distributions and tie-breaking probabilities is needed for networks with more than two stations, in order to characterize the stability of such systems. However, if the routing probabilities in the network satisfy a certain homogeneity condition, then it is proved that the stability behavior can be explicitly determined, again using the mean value parameters of the network.
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U2 - 10.1007/978-1-4419-6472-4_10
DO - 10.1007/978-1-4419-6472-4_10
M3 - Chapter
AN - SCOPUS:84975706754
VL - 154
T3 - International Series in Operations Research and Management Science
SP - 461
EP - 487
BT - International Series in Operations Research and Management Science
PB - Springer New York LLC
ER -