textabstractWe consider the problem of scheduling jobs online, where jobs may be served partially in order to optimize the overall use of the machines. Service requests arrive online to be executed immediately;Every job must start immediately or be refused. the scheduler must decide how long and if it will run a job (that is, it must fix the Quality of Service level of the job) at the time of arrival of the job: preemption is not allowed. We give lower bounds on the competitive ratio and present algorithmsanalyze the competitive performance of algorithms for jobs with varying sizes and for jobs with uniform size, and for jobs that can be run for an arbitrary time or only for some fixed fraction of their full execution time
This paper considers the online scheduling of a single machine in which jobs arrive over time, and p...
This note deals with the scheduling problem of maximizing the number of early jobs on a single machi...
This note deals with the scheduling problem of maximizing the number of early jobs on a single machi...
We consider the problem of scheduling jobs online, where jobs may be served partially in order to op...
We explore the machine-minimizing job scheduling problem, which has a rich history in the line of re...
We consider online preemptive scheduling of jobs with fixed starting times revealed at those times o...
We consider online preemptive scheduling of jobs with fixed starting times revealed at those times o...
In this paper, we derive bounds on performance guarantees of online algorithms for real-time preempt...
International audienceWe consider the problem of scheduling jobs on-line on a single machine with th...
We consider the online resource minimization problem in which jobs with hard deadlines arrive online...
We consider an online scheduling environment where decisions are made without knowledge of the data ...
AbstractThis paper considers an online scheduling problem arising from Quality-of-Service (QoS) appl...
We consider the problem of scheduling a maximum profit selection of jobs on m identical machines. Jo...
We give an online algorithm for minimizing the total weighted completion time on a single machine wh...
International audienceWe consider in this work a classical online scheduling problem with release ti...
This paper considers the online scheduling of a single machine in which jobs arrive over time, and p...
This note deals with the scheduling problem of maximizing the number of early jobs on a single machi...
This note deals with the scheduling problem of maximizing the number of early jobs on a single machi...
We consider the problem of scheduling jobs online, where jobs may be served partially in order to op...
We explore the machine-minimizing job scheduling problem, which has a rich history in the line of re...
We consider online preemptive scheduling of jobs with fixed starting times revealed at those times o...
We consider online preemptive scheduling of jobs with fixed starting times revealed at those times o...
In this paper, we derive bounds on performance guarantees of online algorithms for real-time preempt...
International audienceWe consider the problem of scheduling jobs on-line on a single machine with th...
We consider the online resource minimization problem in which jobs with hard deadlines arrive online...
We consider an online scheduling environment where decisions are made without knowledge of the data ...
AbstractThis paper considers an online scheduling problem arising from Quality-of-Service (QoS) appl...
We consider the problem of scheduling a maximum profit selection of jobs on m identical machines. Jo...
We give an online algorithm for minimizing the total weighted completion time on a single machine wh...
International audienceWe consider in this work a classical online scheduling problem with release ti...
This paper considers the online scheduling of a single machine in which jobs arrive over time, and p...
This note deals with the scheduling problem of maximizing the number of early jobs on a single machi...
This note deals with the scheduling problem of maximizing the number of early jobs on a single machi...