AbstractWe present a deterministic online algorithm for scheduling two parallel machines when jobs arrive over time and show that it is 12(5−5)≈1.38198-competitive. The best previously known algorithm is (3/2)-competitive. Our upper bound matches a previously known lower bound, and thus our algorithm has the best possible competitive ratio. We also present a lower bound of 1.21207 on the competitive ratio of any randomized online algorithm for any number of machines. This improves a previous result of 4−22≈1.17157
We study classic machine sequencing problems in an online setting. Specifically, we look at determin...
AbstractIn the majority of works on online scheduling on multipurpose machines the objective is to m...
We consider the following scheduling problem. The input is a set of jobs with equal processing time...
Abstract. We study a classical problem in online scheduling. A sequence of jobs must be scheduled on...
We consider online scheduling of parallel jobs on parallel machines. For the problem with two machin...
We consider online scheduling of parallel jobs on parallel machines. For the problem with two machin...
We consider online scheduling of parallel jobs on parallel machines. For the problem with two machin...
We consider online scheduling of parallel jobs on parallel machines. For the problem with two machin...
We propose a new approach to competitive analysis in online scheduling by introducing the novel conc...
AbstractIn this paper we investigate two online scheduling problems. The first one is online schedul...
Makespan minimization onm identical machines is a fundamental scheduling problem. The goal is to ass...
This thesis proposes and evaluates some online algorithms for machine scheduling problems. Determini...
This thesis proposes and evaluates some online algorithms for machine scheduling problems. Determini...
This thesis proposes and evaluates some online algorithms for machine scheduling problems. Determini...
This thesis proposes and evaluates some online algorithms for machine scheduling problems. Determini...
We study classic machine sequencing problems in an online setting. Specifically, we look at determin...
AbstractIn the majority of works on online scheduling on multipurpose machines the objective is to m...
We consider the following scheduling problem. The input is a set of jobs with equal processing time...
Abstract. We study a classical problem in online scheduling. A sequence of jobs must be scheduled on...
We consider online scheduling of parallel jobs on parallel machines. For the problem with two machin...
We consider online scheduling of parallel jobs on parallel machines. For the problem with two machin...
We consider online scheduling of parallel jobs on parallel machines. For the problem with two machin...
We consider online scheduling of parallel jobs on parallel machines. For the problem with two machin...
We propose a new approach to competitive analysis in online scheduling by introducing the novel conc...
AbstractIn this paper we investigate two online scheduling problems. The first one is online schedul...
Makespan minimization onm identical machines is a fundamental scheduling problem. The goal is to ass...
This thesis proposes and evaluates some online algorithms for machine scheduling problems. Determini...
This thesis proposes and evaluates some online algorithms for machine scheduling problems. Determini...
This thesis proposes and evaluates some online algorithms for machine scheduling problems. Determini...
This thesis proposes and evaluates some online algorithms for machine scheduling problems. Determini...
We study classic machine sequencing problems in an online setting. Specifically, we look at determin...
AbstractIn the majority of works on online scheduling on multipurpose machines the objective is to m...
We consider the following scheduling problem. The input is a set of jobs with equal processing time...