AbstractGiven a time slotted list of resource capacities, we address the problem of scheduling resource allocation considering that a change in allocation results in the changeover penalty of one timeslot. The goal is to maximize the overall allocation of resources. We prove that no 1-lookahead algorithm can be better than 85-competitive. We provide improved analysis of Wait Dominate Hold (WDH) algorithm that was previously known to be 4-competitive. We prove that WDH is 83-competitive. We also consider k-lookahead algorithms, and prove lower bound of (k+2)/(k+1) on their competitiveness and give an online algorithm that is 2-competitive
We consider the problem of scheduling resource allocation where a change in allocation results in a ...
AbstractWe consider the problem of scheduling resource allocation where a change in allocation resul...
We introduce and study a general scheduling problem that we term the Packing Scheduling problem (PSP...
AbstractGiven a time slotted list of resource capacities, we address the problem of scheduling resou...
Abstract We consider two fundamental problems in dynamic scheduling: scheduling to meet deadlines in...
We consider two fundamental problems in dynamic scheduling: scheduling to meet deadlines in a preemp...
We consider two fundamental problems in dynamic scheduling: scheduling to meet deadlines in a preemp...
We consider the online resource minimization problem in which jobs with hard deadlines arrive online...
International audienceWe consider in this work a classical online scheduling problem with release ti...
AbstractWe study the problem of scheduling n jobs that arrive over time. We consider a non-preemptiv...
AbstractThis paper considers an online scheduling problem arising from Quality-of-Service (QoS) appl...
We study the scheduling problem of minimizing the maximum starting time on-line. The goal is to mini...
AbstractWe study the scheduling problem of minimizing the maximum starting time on-line. The goal is...
AbstractWe consider online scheduling problems to minimize modified total tardiness. The problems ar...
In the classic minimum makespan scheduling problem, we are given an input sequence of jobs with proc...
We consider the problem of scheduling resource allocation where a change in allocation results in a ...
AbstractWe consider the problem of scheduling resource allocation where a change in allocation resul...
We introduce and study a general scheduling problem that we term the Packing Scheduling problem (PSP...
AbstractGiven a time slotted list of resource capacities, we address the problem of scheduling resou...
Abstract We consider two fundamental problems in dynamic scheduling: scheduling to meet deadlines in...
We consider two fundamental problems in dynamic scheduling: scheduling to meet deadlines in a preemp...
We consider two fundamental problems in dynamic scheduling: scheduling to meet deadlines in a preemp...
We consider the online resource minimization problem in which jobs with hard deadlines arrive online...
International audienceWe consider in this work a classical online scheduling problem with release ti...
AbstractWe study the problem of scheduling n jobs that arrive over time. We consider a non-preemptiv...
AbstractThis paper considers an online scheduling problem arising from Quality-of-Service (QoS) appl...
We study the scheduling problem of minimizing the maximum starting time on-line. The goal is to mini...
AbstractWe study the scheduling problem of minimizing the maximum starting time on-line. The goal is...
AbstractWe consider online scheduling problems to minimize modified total tardiness. The problems ar...
In the classic minimum makespan scheduling problem, we are given an input sequence of jobs with proc...
We consider the problem of scheduling resource allocation where a change in allocation results in a ...
AbstractWe consider the problem of scheduling resource allocation where a change in allocation resul...
We introduce and study a general scheduling problem that we term the Packing Scheduling problem (PSP...