We consider the M/G/1 queue where job sizes become known upon arrival subject to a general cost structure. More specifically, we are interested in determining the optimal admission policy to the (size-aware) system with multiple jobclasses each having its own admission and rejection costs. The cost for admitting a job is a class-specific function of the waiting time. As a special case, we consider a deadline cost structure where admitting a job that will be late has a smaller cost than rejecting it. We analyse the system within the framework of Markov decision processes, and derive expressions that enable us to determine the size-aware value function, and the optimal class-specific admission control, as well as the resulting mean cost. The availability of the value function allows one to develop efficient dispatching policies for a system with heterogeneous parallel servers.
%0 Conference Paper
%1 esa20ITC32-2
%A Hyytiä, Esa
%A Righter, Rhonda
%A Virtamo, Jorma
%B 32th International Teletraffic Congress (ITC 32)
%C Osaka, Japan
%D 2020
%K itc itc32
%T Admission Control to M/G/1 Subject to General Class-Specific Admission and Rejection Costs
%U https://gitlab2.informatik.uni-wuerzburg.de/itc-conference/itc-conference-public/-/raw/master/itc32/esa20ITC32-2.pdf?inline=true
%X We consider the M/G/1 queue where job sizes become known upon arrival subject to a general cost structure. More specifically, we are interested in determining the optimal admission policy to the (size-aware) system with multiple jobclasses each having its own admission and rejection costs. The cost for admitting a job is a class-specific function of the waiting time. As a special case, we consider a deadline cost structure where admitting a job that will be late has a smaller cost than rejecting it. We analyse the system within the framework of Markov decision processes, and derive expressions that enable us to determine the size-aware value function, and the optimal class-specific admission control, as well as the resulting mean cost. The availability of the value function allows one to develop efficient dispatching policies for a system with heterogeneous parallel servers.
@inproceedings{esa20ITC32-2,
abstract = {We consider the M/G/1 queue where job sizes become known upon arrival subject to a general cost structure. More specifically, we are interested in determining the optimal admission policy to the (size-aware) system with multiple jobclasses each having its own admission and rejection costs. The cost for admitting a job is a class-specific function of the waiting time. As a special case, we consider a deadline cost structure where admitting a job that will be late has a smaller cost than rejecting it. We analyse the system within the framework of Markov decision processes, and derive expressions that enable us to determine the size-aware value function, and the optimal class-specific admission control, as well as the resulting mean cost. The availability of the value function allows one to develop efficient dispatching policies for a system with heterogeneous parallel servers.},
added-at = {2021-03-02T15:22:25.000+0100},
address = {Osaka, Japan},
author = {Hyytiä, Esa and Righter, Rhonda and Virtamo, Jorma},
biburl = {https://www.bibsonomy.org/bibtex/270de12df4ed185cdf7ed2bc87c12fe1c/itc},
booktitle = {32th International Teletraffic Congress (ITC 32)},
interhash = {27ecffe7248d3a8433c60bd48c385e01},
intrahash = {70de12df4ed185cdf7ed2bc87c12fe1c},
keywords = {itc itc32},
timestamp = {2021-03-02T15:22:25.000+0100},
title = {Admission Control to M/G/1 Subject to General Class-Specific Admission and Rejection Costs},
url = {https://gitlab2.informatik.uni-wuerzburg.de/itc-conference/itc-conference-public/-/raw/master/itc32/esa20ITC32-2.pdf?inline=true},
year = 2020
}