AbstractWe consider online scheduling problems to minimize modified total tardiness. The problems are online in the sense that jobs arrive over time. For each job Jj, its processing time pj, due date dj and weight wj become known at its arrival time (or release time) rj. Preemption is not allowed. We first show that there is no finite competitive ratio for problem 1|online,rj,dj|∑wjTj. So we focus on problem 1|online,rj,dj|∑wj(Tj+dj) and show that D-SWPT (Delayed Shortest Weighted Processing Time) algorithm is 3-competitive. We further study two problems 1|online,rj,dj,h(1),res|∑wj(Tj+dj) and 1|online,rj,dj,h(1),N−res|∑wj(Tj+dj), where res and N−res denote resumable and non-resumable models respectively, and h(1) denotes a non-available tim...
International audienceWe consider in this work a classical online scheduling problem with release ti...
We explore the machine-minimizing job scheduling problem, which has a rich history in the line of re...
International audienceIn this paper, we consider the online problem of scheduling independent jobs n...
AbstractWe consider online scheduling problems to minimize modified total tardiness. The problems ar...
AbstractIn this paper we investigate two online scheduling problems. The first one is online schedul...
This paper considers the online scheduling of a single machine in which jobs arrive over time, and p...
We consider the online resource minimization problem in which jobs with hard deadlines arrive online...
International audienceWe consider the problem of scheduling jobs to minimize the maximum weighted fl...
We consider online preemptive scheduling of jobs with fixed starting times revealed at those times o...
We investigate an online version of a basic scheduling problem where a set of jobs has to be schedul...
We consider online preemptive scheduling of jobs with fixed starting times revealed at those times o...
AbstractWe study two online problems on m uniform machines with speeds s1≤⋯≤sm. The problems are onl...
We study an online flow shop scheduling problem where each job consists of several tasks that have t...
We consider an online scheduling environment where decisions are made without knowledge of the data ...
In this paper, we derive bounds on performance guarantees of online algorithms for real-time preempt...
International audienceWe consider in this work a classical online scheduling problem with release ti...
We explore the machine-minimizing job scheduling problem, which has a rich history in the line of re...
International audienceIn this paper, we consider the online problem of scheduling independent jobs n...
AbstractWe consider online scheduling problems to minimize modified total tardiness. The problems ar...
AbstractIn this paper we investigate two online scheduling problems. The first one is online schedul...
This paper considers the online scheduling of a single machine in which jobs arrive over time, and p...
We consider the online resource minimization problem in which jobs with hard deadlines arrive online...
International audienceWe consider the problem of scheduling jobs to minimize the maximum weighted fl...
We consider online preemptive scheduling of jobs with fixed starting times revealed at those times o...
We investigate an online version of a basic scheduling problem where a set of jobs has to be schedul...
We consider online preemptive scheduling of jobs with fixed starting times revealed at those times o...
AbstractWe study two online problems on m uniform machines with speeds s1≤⋯≤sm. The problems are onl...
We study an online flow shop scheduling problem where each job consists of several tasks that have t...
We consider an online scheduling environment where decisions are made without knowledge of the data ...
In this paper, we derive bounds on performance guarantees of online algorithms for real-time preempt...
International audienceWe consider in this work a classical online scheduling problem with release ti...
We explore the machine-minimizing job scheduling problem, which has a rich history in the line of re...
International audienceIn this paper, we consider the online problem of scheduling independent jobs n...