AbstractThis paper studies online job scheduling on multiprocessors and, in particular, investigates the algorithms Shortest Remaining Processing Time First (SRPT) and Shortest Job First (SJF) for minimizing total stretch, where the stretch of a job is its flow time (response time) divided by its processing time. SRPT is perhaps the most well-studied algorithm for minimizing total flow time or stretch. This paper gives the first resource augmentation analysis of the total stretch of SRPT, showing that it is indeed O(1)-speed 1-competitive. This paper also gives a simple lower bound result showing that SRPT is not s-speed 1-competitive for any s<1.5.This paper also makes contribution to the analysis of SJF. Extending the work of [L. Becchett...
We consider the classical problem of scheduling preemptible jobs, that ar-rive over time, on identic...
We consider the classical problem of scheduling jobs in a multiprocessor setting in order to minimiz...
In this paper we study the multiple-processor multitask scheduling problem in both deterministic and...
This paper studies online job scheduling on multiprocessors and, in particular, investigates the alg...
LNCS v. 3618 entitled: Mathematical Foundations of Computer Science 2005: 30th International Symposi...
AbstractThis paper studies online job scheduling on multiprocessors and, in particular, investigates...
We investigate the problem of online scheduling of jobs to minimize flow time and stretch on m ident...
We investigate the problem of online scheduling of jobs to minimize flow time and stretch on m iden...
Due to its optimality on a single machine for the problem of minimizing average flow time, Shortest-...
We investigate the problem of online scheduling of jobs to minimize flow time and stretch on m iden...
Due to its optimality on a single machine for the problem of minimizing average flow time, Shortest-...
We show that the Shortest Processing Time (SPT) algorithm is ( ∆ + 1)/2-competitive for nonpreemptiv...
We investigate the problem of online scheduling of jobs to minimize flow time and stretch on m iden...
Abstract. We consider the classical problem of scheduling n jobs with release dates on both single a...
Abstract. We study online scheduling of jobs to mini-mize the flow time and stretch on parallel mach...
We consider the classical problem of scheduling preemptible jobs, that ar-rive over time, on identic...
We consider the classical problem of scheduling jobs in a multiprocessor setting in order to minimiz...
In this paper we study the multiple-processor multitask scheduling problem in both deterministic and...
This paper studies online job scheduling on multiprocessors and, in particular, investigates the alg...
LNCS v. 3618 entitled: Mathematical Foundations of Computer Science 2005: 30th International Symposi...
AbstractThis paper studies online job scheduling on multiprocessors and, in particular, investigates...
We investigate the problem of online scheduling of jobs to minimize flow time and stretch on m ident...
We investigate the problem of online scheduling of jobs to minimize flow time and stretch on m iden...
Due to its optimality on a single machine for the problem of minimizing average flow time, Shortest-...
We investigate the problem of online scheduling of jobs to minimize flow time and stretch on m iden...
Due to its optimality on a single machine for the problem of minimizing average flow time, Shortest-...
We show that the Shortest Processing Time (SPT) algorithm is ( ∆ + 1)/2-competitive for nonpreemptiv...
We investigate the problem of online scheduling of jobs to minimize flow time and stretch on m iden...
Abstract. We consider the classical problem of scheduling n jobs with release dates on both single a...
Abstract. We study online scheduling of jobs to mini-mize the flow time and stretch on parallel mach...
We consider the classical problem of scheduling preemptible jobs, that ar-rive over time, on identic...
We consider the classical problem of scheduling jobs in a multiprocessor setting in order to minimiz...
In this paper we study the multiple-processor multitask scheduling problem in both deterministic and...