We ask the question, "for minimizing mean response time (sojourn time), which is preferable: one fast server of speed 1, or k slow servers each of speed 1/k?" Our setting is the M/PH/k system with two priority classes of customers, high priority and low priority, where PH is a phase-type distribution. We find that multiple slow servers are often preferable, and we demonstrate exactly how many servers are preferable as a function of the load and service time distribution. In addition, we find that the optimal number of servers with respect to the high priority jobs may be very di#erent from that preferred by low priority jobs, and we characterize these preferences. We also study the optimal number of servers with respect to ...
Hokstad recently published an approximate method for calculating the behaviour of an M/G/m queue. Th...
In this paper a priority queuing system MX1,MX2/G1(a,b),G2(a,b)/1 with multiple vacations, setup tim...
We address the problem of scheduling a multiclass queueing network on M parallel servers to minimize...
We ask the question, “for minimizing mean response time (sojourn time), which is preferable: one fas...
We ask the question, “for minimizing mean response time (sojourn time), which is preferable: one fas...
Abstract: "We ask the question, 'for minimizing mean response time, which is preferable: one fast se...
This paper provides the first exact analysis of a preemptive M=M=c queue with two priority classes h...
The cµ rule is known to be optimal in many queueing systems with memoryless service times. We establ...
We are interested in queues in which customers of different classes arrive to a service facility, an...
Systems with multiple servers are common in many areas and their correct dimensioning is in general ...
We address the problem of scheduling a multiclass M/M/mqueue with Bernoulli feedback on mparallel se...
In this thesis, we first study delay systems with different classes of impatient customers. We analy...
We give sufficient conditions under which a policy that assigns customers to the Fastest Available S...
A priority queueing model with many types of requests and restricted processor sharing is considered...
In this paper we apply the Gittins optimality result to characterize the optimal scheduling discipli...
Hokstad recently published an approximate method for calculating the behaviour of an M/G/m queue. Th...
In this paper a priority queuing system MX1,MX2/G1(a,b),G2(a,b)/1 with multiple vacations, setup tim...
We address the problem of scheduling a multiclass queueing network on M parallel servers to minimize...
We ask the question, “for minimizing mean response time (sojourn time), which is preferable: one fas...
We ask the question, “for minimizing mean response time (sojourn time), which is preferable: one fas...
Abstract: "We ask the question, 'for minimizing mean response time, which is preferable: one fast se...
This paper provides the first exact analysis of a preemptive M=M=c queue with two priority classes h...
The cµ rule is known to be optimal in many queueing systems with memoryless service times. We establ...
We are interested in queues in which customers of different classes arrive to a service facility, an...
Systems with multiple servers are common in many areas and their correct dimensioning is in general ...
We address the problem of scheduling a multiclass M/M/mqueue with Bernoulli feedback on mparallel se...
In this thesis, we first study delay systems with different classes of impatient customers. We analy...
We give sufficient conditions under which a policy that assigns customers to the Fastest Available S...
A priority queueing model with many types of requests and restricted processor sharing is considered...
In this paper we apply the Gittins optimality result to characterize the optimal scheduling discipli...
Hokstad recently published an approximate method for calculating the behaviour of an M/G/m queue. Th...
In this paper a priority queuing system MX1,MX2/G1(a,b),G2(a,b)/1 with multiple vacations, setup tim...
We address the problem of scheduling a multiclass queueing network on M parallel servers to minimize...