TY - JOUR
T1 - Externalities in the M/G/1 queue
T2 - LCFS-PR versus FCFS
AU - Jacobovic, Royi
AU - Levering, Nikki
AU - Boxma, Onno
N1 - Publisher Copyright:
© 2023, The Author(s).
PY - 2023/8
Y1 - 2023/8
N2 - Consider a stable M/G/1 system in which, at time t= 0 , there are exactly n customers with residual service times equal to v1, v2, … , vn . In addition, assume that there is an extra customer c who arrives at time t= 0 and has a service requirement of x. The externalities which are created by c are equal to the total waiting time that others will save if her service requirement is reduced to zero. In this work, we study the joint distribution (parameterized by n, v1, v2, … , vn, x) of the externalities created by c when the underlying service distribution is either last-come, first-served with preemption or first-come, first-served. We start by proving a decomposition of the externalities under the above-mentioned service disciplines. Then, this decomposition is used to derive several other results regarding the externalities: moments, asymptotic approximations as x→ ∞ , asymptotics of the tail distribution, and a functional central limit theorem.
AB - Consider a stable M/G/1 system in which, at time t= 0 , there are exactly n customers with residual service times equal to v1, v2, … , vn . In addition, assume that there is an extra customer c who arrives at time t= 0 and has a service requirement of x. The externalities which are created by c are equal to the total waiting time that others will save if her service requirement is reduced to zero. In this work, we study the joint distribution (parameterized by n, v1, v2, … , vn, x) of the externalities created by c when the underlying service distribution is either last-come, first-served with preemption or first-come, first-served. We start by proving a decomposition of the externalities under the above-mentioned service disciplines. Then, this decomposition is used to derive several other results regarding the externalities: moments, asymptotic approximations as x→ ∞ , asymptotics of the tail distribution, and a functional central limit theorem.
KW - Externalities
KW - FCFS
KW - Gaussian approximation
KW - Heavy-tailed distribution
KW - LCFS-PR
KW - M/G/1 queue
UR - http://www.scopus.com/inward/record.url?scp=85161406380&partnerID=8YFLogxK
U2 - 10.1007/s11134-023-09878-8
DO - 10.1007/s11134-023-09878-8
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AN - SCOPUS:85161406380
SN - 0257-0130
VL - 104
SP - 239
EP - 267
JO - Queueing Systems
JF - Queueing Systems
IS - 3-4
ER -