This note deals with the scheduling problem of maximizing the number of early jobs on a single machine. We investigate the on-line version of this problem in the Preemption-Restart model. This means that jobs may be preempted, but preempting results in all the work done on this job so far being lost. Thus, if the job is restarted, then it has to be done from scratch. We prove that the shortest remaining processing time (SRPT) rule yields an on-line algorithm with competitive ratio 1/2. Moreover, we show that there does not exist an on-line algorithm with a better performance guarantee
It is well known that on-line preemptive scheduling algorithms can achieve efficient performance, A ...
It is well known that on-line preemptive scheduling algorithms can achieve efficient performance, A ...
It is well known that on-line preemptive scheduling algorithms can achieve efficient performance, A ...
This note deals with the scheduling problem of maximizing the number of early jobs on a single machi...
This note deals with the scheduling problem of maximizing the number of early jobs on a single machi...
This note deals with the scheduling problem of maximizing the number of early jobs on a single machi...
This note deals with the scheduling problem of maximizing the number of early jobs on a single machi...
This note deals with the scheduling problem of maximizing the number of early jobs on a single machi...
We study a maximization problem: online scheduling on m identical machines to maximize the number of...
The problem of scheduling jobs that arrive over time on a single machine is well-studied. We study t...
It is well known that on-line preemptive scheduling algorithms can achieve efficient performance. A ...
It is well known that on-line preemptive scheduling algorithms can achieve efficient performance. A ...
It is well known that on-line preemptive scheduling algorithms can achieve efficient performance. A ...
It is well known that on-line preemptive scheduling algorithms can achieve efficient performance. A ...
It is well known that on-line preemptive scheduling algorithms can achieve efficient performance. A ...
It is well known that on-line preemptive scheduling algorithms can achieve efficient performance, A ...
It is well known that on-line preemptive scheduling algorithms can achieve efficient performance, A ...
It is well known that on-line preemptive scheduling algorithms can achieve efficient performance, A ...
This note deals with the scheduling problem of maximizing the number of early jobs on a single machi...
This note deals with the scheduling problem of maximizing the number of early jobs on a single machi...
This note deals with the scheduling problem of maximizing the number of early jobs on a single machi...
This note deals with the scheduling problem of maximizing the number of early jobs on a single machi...
This note deals with the scheduling problem of maximizing the number of early jobs on a single machi...
We study a maximization problem: online scheduling on m identical machines to maximize the number of...
The problem of scheduling jobs that arrive over time on a single machine is well-studied. We study t...
It is well known that on-line preemptive scheduling algorithms can achieve efficient performance. A ...
It is well known that on-line preemptive scheduling algorithms can achieve efficient performance. A ...
It is well known that on-line preemptive scheduling algorithms can achieve efficient performance. A ...
It is well known that on-line preemptive scheduling algorithms can achieve efficient performance. A ...
It is well known that on-line preemptive scheduling algorithms can achieve efficient performance. A ...
It is well known that on-line preemptive scheduling algorithms can achieve efficient performance, A ...
It is well known that on-line preemptive scheduling algorithms can achieve efficient performance, A ...
It is well known that on-line preemptive scheduling algorithms can achieve efficient performance, A ...