AbstractThis paper is concerned with the on-line problem of scheduling jobs with tight deadlines in a uni-processor system. It has been known for long that in such a setting, no on-line algorithm is 1-competitive (i.e., optimal) in the sense of matching the optimal off-line algorithm on the total value of jobs that meet the deadlines; indeed, no algorithm can be better than k-competitive, where k is the importance ratio of the jobs. Recent work, however, reveals that the competitive ratio can be improved to a constant if the on-line scheduler is equipped with a processor O(1) times faster (J. ACM 47(4) (2000) 617), and further to one when using a processor O(logk) times faster (Proc. 12th Ann. ACM–SIAM Symp. on Discrete Algorithms, 2001, p....
We consider the online resource minimization problem in which jobs with hard deadlines arrive online...
We study the problem of on-line scheduling of parallel jobs on two machines. The jobs are parallel i...
In this paper, we derive bounds on performance guarantees of online algorithms for real-time preempt...
AbstractThis paper is concerned with online algorithms for scheduling jobs with deadlines on a singl...
This paper is concerned with online algorithms for scheduling jobs with deadlines on a single proces...
This paper revisits the problem of on-line scheduling of sequential jobs with hard deadlines in a pr...
This paper is concerned with the design of online scheduling algorithms that exploit extra resources...
We explore the machine-minimizing job scheduling problem, which has a rich history in the line of re...
International audienceWe consider the problem of scheduling jobs on-line on a single machine with th...
This article extends the study of online algorithms for energy-efficient deadline scheduling to the ...
Lecture Notes in Computer Science, vol. 6534 entitled: Approximation and Online Algorithms: 8th inte...
In this paper we study energy efficient deadline scheduling on multiprocessors in which the processo...
AbstractThis paper considers an online scheduling problem arising from Quality-of-Service (QoS) appl...
The problem of uniprocessor scheduling under conditions of overload is investigated. The system obje...
In this paper we study some aspects of weighted flow time. We first show that the online algorithm H...
We consider the online resource minimization problem in which jobs with hard deadlines arrive online...
We study the problem of on-line scheduling of parallel jobs on two machines. The jobs are parallel i...
In this paper, we derive bounds on performance guarantees of online algorithms for real-time preempt...
AbstractThis paper is concerned with online algorithms for scheduling jobs with deadlines on a singl...
This paper is concerned with online algorithms for scheduling jobs with deadlines on a single proces...
This paper revisits the problem of on-line scheduling of sequential jobs with hard deadlines in a pr...
This paper is concerned with the design of online scheduling algorithms that exploit extra resources...
We explore the machine-minimizing job scheduling problem, which has a rich history in the line of re...
International audienceWe consider the problem of scheduling jobs on-line on a single machine with th...
This article extends the study of online algorithms for energy-efficient deadline scheduling to the ...
Lecture Notes in Computer Science, vol. 6534 entitled: Approximation and Online Algorithms: 8th inte...
In this paper we study energy efficient deadline scheduling on multiprocessors in which the processo...
AbstractThis paper considers an online scheduling problem arising from Quality-of-Service (QoS) appl...
The problem of uniprocessor scheduling under conditions of overload is investigated. The system obje...
In this paper we study some aspects of weighted flow time. We first show that the online algorithm H...
We consider the online resource minimization problem in which jobs with hard deadlines arrive online...
We study the problem of on-line scheduling of parallel jobs on two machines. The jobs are parallel i...
In this paper, we derive bounds on performance guarantees of online algorithms for real-time preempt...