We consider the online makespan minimization problem on identical machines. Chen and Vestjens (ORL 1997) show that the largest processing time first (LPT) algorithm is 1.5-competitive. For the special case of two machines, Noga and Seiden (TCS 2001) introduce the SLEEPY algorithm that achieves a competitive ratio of (5 - sqrt{5})/2 ~~ 1.382, matching the lower bound by Chen and Vestjens (ORL 1997). Furthermore, Noga and Seiden note that in many applications one can kill a job and restart it later, and they leave an open problem whether algorithms with restart can obtain better competitive ratios. We resolve this long-standing open problem on the positive end. Our algorithm has a natural rule for killing a processing job: a newly-arrived job...
AbstractIn this paper we investigate two online scheduling problems. The first one is online schedul...
In the classic minimum makespan scheduling problem, we are given an input sequence of jobs with proc...
We study a maximization problem: online scheduling on m identical machines to maximize the number of...
In this paper, we consider the online scheduling problem on a single machine to minimize the weighte...
Author name used in this publication: T.C.E. ChengAuthor name used in this publication: C. T. Ng2005...
Makespan minimization onm identical machines is a fundamental scheduling problem. The goal is to ass...
In the classic minimum makespan scheduling problem, we are given an input sequence of n jobs with si...
We study online scheduling on two unbounded parallel-batching machines with limited restarts to mini...
AbstractMakespan minimization on m identical machines is a fundamental scheduling problem. The goal ...
AbstractIn many realistic scenarios of job processing, one job consumes a longer time to be satisfie...
AbstractWe consider two problems of online scheduling on two uniform machines: online scheduling und...
AbstractIn the majority of works on online scheduling on multipurpose machines the objective is to m...
We explore the machine-minimizing job scheduling problem, which has a rich history in the line of re...
AbstractWe consider an online scheduling problem in a parallel batch processing system with jobs in ...
In the classic minimum makespan scheduling problem, we are given an input sequence of n jobs with si...
AbstractIn this paper we investigate two online scheduling problems. The first one is online schedul...
In the classic minimum makespan scheduling problem, we are given an input sequence of jobs with proc...
We study a maximization problem: online scheduling on m identical machines to maximize the number of...
In this paper, we consider the online scheduling problem on a single machine to minimize the weighte...
Author name used in this publication: T.C.E. ChengAuthor name used in this publication: C. T. Ng2005...
Makespan minimization onm identical machines is a fundamental scheduling problem. The goal is to ass...
In the classic minimum makespan scheduling problem, we are given an input sequence of n jobs with si...
We study online scheduling on two unbounded parallel-batching machines with limited restarts to mini...
AbstractMakespan minimization on m identical machines is a fundamental scheduling problem. The goal ...
AbstractIn many realistic scenarios of job processing, one job consumes a longer time to be satisfie...
AbstractWe consider two problems of online scheduling on two uniform machines: online scheduling und...
AbstractIn the majority of works on online scheduling on multipurpose machines the objective is to m...
We explore the machine-minimizing job scheduling problem, which has a rich history in the line of re...
AbstractWe consider an online scheduling problem in a parallel batch processing system with jobs in ...
In the classic minimum makespan scheduling problem, we are given an input sequence of n jobs with si...
AbstractIn this paper we investigate two online scheduling problems. The first one is online schedul...
In the classic minimum makespan scheduling problem, we are given an input sequence of jobs with proc...
We study a maximization problem: online scheduling on m identical machines to maximize the number of...