On the optimality of static priority policies in stochastic scheduling on parallel machinesJournal of Applied Probability - Tập 24 Số 2 - Trang 430-448 - 1987
Thomas Kämpke
n jobs are to be preemptively scheduled for processing on n machines. The
machines may have differing speeds and the jobs have processing requirements
which are distributed as independent exponential random variables with different
means. Holding cost g(U) is incurred per unit time that the set of uncompleted
jobs is U and it is desired to minimize the total expected holding cost which is
incurred... hiện toàn bộ
Scheduling tasks with exponential service times on parallel processorsJournal of Applied Probability - Tập 16 Số 3 - Trang 685-689 - 1979
K. D. Glazebrook
We consider the problem of how to schedule n tasks on to several identical
processors to meet the objective of minimising the expected flow-time. The
strategy which always serves those tasks whose processing-time distributions
have the highest hazard rates is shown to be optimal when these distributions
are all exponential.
Scheduling jobs with stochastically ordered processing times on parallel machines to minimize expected flowtimeJournal of Applied Probability - Tập 23 Số 3 - Trang 841-847 - 1986
Richard Weber, Pravin Varaiya, Jean Walrand
A number of jobs are to be processed using a number of identical machines which
operate in parallel. The processing times of the jobs are stochastic, but have
known distributions which are stochastically ordered. A reward r(t) is acquired
when a job is completed at time t. The function r(t) is assumed to be convex and
decreasing in t. It is shown that within the class of non-preemptive scheduling
... hiện toàn bộ
Inequalities and bounds for the scheduling of stochastic jobs on parallel machinesJournal of Applied Probability - Tập 22 Số 3 - Trang 739-744 - 1985
Michael Pinedo, Zvi Schechner
Consider n jobs and m machines. The m machines are identical and set up in
parallel. All n jobs are available at t = 0 and each job has to be processed on
one of the machines; any one can do. The processing time of job j is Xj, a
random variable with distribution Fj. The sequence in which the jobs start with
their processing is predetermined and preemptions are not allowed. We
investigate the effe... hiện toàn bộ
Scheduling tasks with exponential service times on non-identical processors to minimize various cost functionsJournal of Applied Probability - Tập 17 Số 1 - Trang 187-202 - 1980
Gideon Weiss, Michael Pinedo
We consider preemptive scheduling of N tasks on m processors; processors have
different speeds, tasks require amounts of work which are exponentially
distributed, with different parameters. The policies of assigning at every
moment the task with shortest (longest) expected processing time among those not
yet completed to the fastest processor available, second shortest (longest) to
the second fast... hiện toàn bộ
Scheduling jobs by stochastic processing requirements on parallel machines to minimize makespan or flowtimeJournal of Applied Probability - Tập 19 Số 1 - Trang 167-182 - 1982
Richard Weber
A number of identical machines operating in parallel are to be used to complete
the processing of a collection of jobs so as to minimize either the jobs'
makespan or flowtime. The total processing required to complete each job has the
same probability distribution, but some jobs may have received differing amounts
of processing prior to the start. When the distribution has a monotone hazard
rate t... hiện toàn bộ
Limit theorem for continuous-time random walks with two time scalesJournal of Applied Probability - Tập 41 Số 2 - Trang 455-466 - 2004
Peter Becker–Kern, Mark M. Meerschaert, Hans‐Peter Scheffler
Continuous-time random walks incorporate a random waiting time between random
jumps. They are used in physics to model particle motion. A physically realistic
rescaling uses two different time scales for the mean waiting time and the
deviation from the mean. This paper derives the scaling limits for such
processes. These limit processes are governed by fractional partial differential
equations tha... hiện toàn bộ
The estimation of frequencyJournal of Applied Probability - Tập 10 Số 3 - Trang 510-519 - 1973
E. J. Hannan
Very general forms of the strong law of large numbers and the central limit
theorem are proved for estimates of the unknown parameters in a sinusoidal
oscillation observed subject to error. In particular when the unknown frequency
θ0, is in fact 0 or ... hiện toàn bộ
Tail Asymptotics for the Queue Size Distribution in an M/G/1 Retrial QueueJournal of Applied Probability - Tập 44 Số 4 - Trang 1111-1118 - 2007
Jerim Kim, Bara Kim, Sung‐Seok Ko
We consider an M/G/1 retrial queue, where the service time distribution has a
finite exponential moment. We show that the tail of the queue size distribution
is asymptotically given by a geometric function multiplied by a power function.
The result is obtained by investigating analytic properties of probability
generating functions for the queue size and the server state.
Exponential spectra as a tool for the study of server-systems with several classes of customersJournal of Applied Probability - Tập 15 Số 1 - Trang 162-170 - 1978
Julian Keilson
For a single-server system having several Poisson streams of customers with
exponentially distributed service times, busy period densities, waiting time
densities, and idle state probabilities are completely monotone. The exponential
spectra for such densities are of importance for understanding the transient
behavior of such systems. Algorithms are given for the computation of such
spectra. Appli... hiện toàn bộ