Mutiprocessor scheduling problem is one of the basic NP-complete problem. There are a lot of efficient heuristics for this problem but no heuristic for the on-line problem can have a worst-case performance lower than 1+1/#sq root#2 for m #>=# 4 and becames 1.837 for m large enough. In this paper we investigate a semi on-line version of multiprocessor scheduling problem when the total processing time of jobs is known in advance. For this version we propose a heuristic and investigate its worst-case performance which is 5/3. (orig.)SIGLEAvailable from TIB Hannover: RR 4487(1998,5) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekDEGerman
Typescript (photocopy).Consideration is given to the problem of nonpreemptively scheduling a set of ...
AbstractThis paper investigates the semi-online version of scheduling problem P||Cmax on a three-mac...
On-line scheduling in real-time environments has been studied by a number of researchers [8, 16, 13,...
AbstractWe are given a set of identical machines and a sequence of jobs, the sum of whose weights is...
We consider a semi on-line version of the multiprocessor scheduling problem on three processors, whe...
International audienceWe consider a semi-online multiprocessor scheduling problem with a given a set...
2004-2005 > Academic research: refereed > Publication in refereed journalAccepted ManuscriptPublishe
We consider the semi-on-line parallel machines scheduling problem with the known total and the large...
In this paper a semi-online algorithm for scheduling multiprocessor tasks with partial information i...
In this paper a semi-online algorithm for scheduling multiprocessor tasks with partial information i...
.In this paper we study a semi on-line version of the classical multiprocessor scheduling problem on...
In this paper we study a semi on-line version of the classical multiprocessor scheduling problem on...
We study the offline and online versions of the well known problem of scheduling a set of n indepen-...
We consider the semi-online parallel machine scheduling problem of minimizing the makespan given a p...
AbstractThis paper considers the problem of scheduling nonpreemptive multiprocessor tasks in a homog...
Typescript (photocopy).Consideration is given to the problem of nonpreemptively scheduling a set of ...
AbstractThis paper investigates the semi-online version of scheduling problem P||Cmax on a three-mac...
On-line scheduling in real-time environments has been studied by a number of researchers [8, 16, 13,...
AbstractWe are given a set of identical machines and a sequence of jobs, the sum of whose weights is...
We consider a semi on-line version of the multiprocessor scheduling problem on three processors, whe...
International audienceWe consider a semi-online multiprocessor scheduling problem with a given a set...
2004-2005 > Academic research: refereed > Publication in refereed journalAccepted ManuscriptPublishe
We consider the semi-on-line parallel machines scheduling problem with the known total and the large...
In this paper a semi-online algorithm for scheduling multiprocessor tasks with partial information i...
In this paper a semi-online algorithm for scheduling multiprocessor tasks with partial information i...
.In this paper we study a semi on-line version of the classical multiprocessor scheduling problem on...
In this paper we study a semi on-line version of the classical multiprocessor scheduling problem on...
We study the offline and online versions of the well known problem of scheduling a set of n indepen-...
We consider the semi-online parallel machine scheduling problem of minimizing the makespan given a p...
AbstractThis paper considers the problem of scheduling nonpreemptive multiprocessor tasks in a homog...
Typescript (photocopy).Consideration is given to the problem of nonpreemptively scheduling a set of ...
AbstractThis paper investigates the semi-online version of scheduling problem P||Cmax on a three-mac...
On-line scheduling in real-time environments has been studied by a number of researchers [8, 16, 13,...