We study the problem of on-line scheduling of parallel jobs on two machines. The jobs are parallel in the sense that each of them specifies the number of processors, in this case 1 or 2, required for simultaneous processing. The jobs are presented one by one. Upon receiving a job, we must assign the job to a time slot in the schedule before the next job is presented. No re-assignment is allowed. The goal is to minimize the makespan of the final schedule. There is a straightforward algorithm which achieves a competitive ratio of 2. In this paper we show that no on-line algorithm can have a competitive ratio less than 1 + sqrt(2 / 3)(≈ 1.816) . We also study two special cases of the problem: (i) Jobs arrive in a non-decreasing order of proces...
AbstractConsider the execution of a parallel application that dynamically generates parallel jobs wi...
We study a two identical parallel-machine scheduling problem in which one machine is available to pr...
Abstract. We consider the problem of scheduling a sequence of jobs to m parallel machines as to maxi...
AbstractWe study the problem of on-line scheduling of parallel jobs on two machines. The jobs are pa...
In this paper we consider an on-line scheduling problem, where jobs with similar processing times wi...
We consider online scheduling of parallel jobs on parallel machines. For the problem with two machin...
In this paper we consider the online scheduling of jobs, which require processing on a number of mac...
In this paper we consider the online scheduling of jobs, which require processing on a number of mac...
AbstractWe present a deterministic online algorithm for scheduling two parallel machines when jobs a...
.In this paper we study a semi on-line version of the classical multiprocessor scheduling problem on...
AbstractWe study the problem of on-line job-scheduling on parallel machines with different network t...
AbstractIn this paper we investigate two online scheduling problems. The first one is online schedul...
Author name used in this publication: T. C. E. ChengAuthor name used in this publication: C. T. Ng20...
A malleable parallel job is one that may be assigned to any number of processors in a parallel compu...
In this paper we study a semi on-line version of the classical multiprocessor scheduling problem on...
AbstractConsider the execution of a parallel application that dynamically generates parallel jobs wi...
We study a two identical parallel-machine scheduling problem in which one machine is available to pr...
Abstract. We consider the problem of scheduling a sequence of jobs to m parallel machines as to maxi...
AbstractWe study the problem of on-line scheduling of parallel jobs on two machines. The jobs are pa...
In this paper we consider an on-line scheduling problem, where jobs with similar processing times wi...
We consider online scheduling of parallel jobs on parallel machines. For the problem with two machin...
In this paper we consider the online scheduling of jobs, which require processing on a number of mac...
In this paper we consider the online scheduling of jobs, which require processing on a number of mac...
AbstractWe present a deterministic online algorithm for scheduling two parallel machines when jobs a...
.In this paper we study a semi on-line version of the classical multiprocessor scheduling problem on...
AbstractWe study the problem of on-line job-scheduling on parallel machines with different network t...
AbstractIn this paper we investigate two online scheduling problems. The first one is online schedul...
Author name used in this publication: T. C. E. ChengAuthor name used in this publication: C. T. Ng20...
A malleable parallel job is one that may be assigned to any number of processors in a parallel compu...
In this paper we study a semi on-line version of the classical multiprocessor scheduling problem on...
AbstractConsider the execution of a parallel application that dynamically generates parallel jobs wi...
We study a two identical parallel-machine scheduling problem in which one machine is available to pr...
Abstract. We consider the problem of scheduling a sequence of jobs to m parallel machines as to maxi...