Journal of the ACM (JACM)
Classifying scheduling policies with respect to unfairness in an M/GI/1
SIGMETRICS '03 Proceedings of the 2003 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Calculating equilibrium probabilities for &lgr;(n)/Ck/1/N queues
PERFORMANCE '80 Proceedings of the 1980 international symposium on Computer performance modelling, measurement and evaluation
NOTE ON THE GI/GI/1 QUEUE WITH LCFS-PR OBSERVED AT ARBITRARY TIMES
Probability in the Engineering and Informational Sciences
A resource-allocation queueing fairness measure
Proceedings of the joint international conference on Measurement and modeling of computer systems
Job Fairness in Non-Preemptive Job Scheduling
ICPP '04 Proceedings of the 2004 International Conference on Parallel Processing
Classifying scheduling policies with respect to higher moments of conditional response time
SIGMETRICS '05 Proceedings of the 2005 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Fairness considerations of scheduling in multi-server and multi-queue systems
valuetools '06 Proceedings of the 1st international conference on Performance evaluation methodolgies and tools
ACM SIGMETRICS Performance Evaluation Review
SQF: A slowdown queueing fairness measure
Performance Evaluation
Quantifying fairness in queuing systems: Principles, approaches, and applicability
Probability in the Engineering and Informational Sciences
| Hi-index | 0.00 |
Customer classification and prioritization are commonly utilized in applications to provide queue preferential service. Their fairness aspects, which are inherent to any preferential system and highly important to customers, have not been fully studied and quantified to date. We use the recently proposed Resource Allocation Queueing Fairness Measure (RAQFM), and a newly introduced metric called class discrimination, which is based on RAQFM, to analyze such systems and derive their relative fairness values as well as the discrimination experienced by the various classes. Specifically, we study two practices, commonly used in public facilities as well as in computer systems: class prioritization and dedication of resources to classes.