Title
Admission control and preemption policy design of multi-class computer networks
Abstract
The subject of optimal admission control for maximizing revenue in multiclass loss networks has been well studied. Preemption policies, employed in the Differentiated Services network architecture, serve as an additional type of loss network control, where active low priority calls may be selectively preempted upon the arrival of a high priority call. This paper studies the joint use of admission control and preemption for a two class loss link where per-class revenues are earned per unit time for each active call, and an instantaneous preemption cost is incurred whenever the preemption mechanism is employed. Our main result is if the preemption cost is not too high then the system revenue under the optimal preemption policy with no admission control (complete sharing) exceeds that of the optimal admission control policy with no preemption. That is, preemption control is superior to admission control provided the preemption cost is not too high. Results are established via dynamic programming.
Year
DOI
Venue
2010
10.1109/CISS.2010.5464837
CISS
Keywords
Field
DocType
loss network,diffserv networks,differentiated services network architecture,complete sharing,optimal admission control,coordinate convex,instantaneous preemption cost,telecommunication congestion control,admission control,loss network control,multiclass loss networks,preemption,dynamic programming,multiclass computer networks,preemption policy design,optimal preemption policy,computer networks,computer architecture,differentiated service,computer network,mathematical model,cost function,network architecture,circuits,markov processes,random variables
Revenue,Dynamic programming,Differentiated services,Preemption,Admission control,Computer science,Network architecture,Computer network,Loss network,Priority call
Conference
ISBN
Citations 
PageRank 
978-1-4244-7417-2
3
0.52
References 
Authors
9
3
Name
Order
Citations
PageRank
Zhen Zhao141.89
Steven Weber272453.55
Jaudelice Cavalcante de Oliveira318616.85