: Fair Share is the standard scheduling algorithm used for political resource control on large, multi-user UNIX systems. Promising equity, Fair Share has instead delivered frustration to its Los Alamos UNICOS users, who perceive misallocations of interactive response within a system of unreasonable complexity. This paper reviews the design of the Kay/Lauder Fair Share system, as well as its Cray UNICOS implementation, and concludes that the underlying model is inappropriate for interactive control. A new resource manager, Opportunity Scheduling, is then presented. Salient features of the new scheduler include: (1) direct management of interactivity (or "computing opportunity"), (2) job prioritization within resource groups, (3) co...
. We present a new scheduling method for batch jobs on massively parallel processor architectures. T...
Abstract: The multiprocessor computer systems become more popular for the improvement of the proces...
Computing and storage utilities must control resource usage to meet contractual performance targets ...
System administrators for parallel computers face many difficulties when managing job scheduling sys...
Typical HPC job scheduler software determines scheduling order by a linear sum of weighted priority ...
To provide a better understanding of fair share policies supported by current production schedulers ...
Abstract. We claim that the current scheduling systems for high performance computing environments a...
This paper presents lottery scheduling, a novel randomized resource allocation mechanism. Lottery sc...
Time-sensitive applications that are also CPU intensive like video games, video playback, eye-candy ...
In this paper, we present surplus fair scheduling (SFS), a proportional-share CPU scheduler designed...
In this chapter, we’ll examine a different type of scheduler known as a proportional-share scheduler...
Loosely, fairness is the assurance of granting each request from a set of requests within a predeter...
Resource management and job scheduling is a crucial task on large-scale computing systems. Despite y...
A multiprocessor system often has more jobs ready to execute than processors available on which to r...
Fair share is one of the scheduling objectives supported on many production systems. However, fair s...
. We present a new scheduling method for batch jobs on massively parallel processor architectures. T...
Abstract: The multiprocessor computer systems become more popular for the improvement of the proces...
Computing and storage utilities must control resource usage to meet contractual performance targets ...
System administrators for parallel computers face many difficulties when managing job scheduling sys...
Typical HPC job scheduler software determines scheduling order by a linear sum of weighted priority ...
To provide a better understanding of fair share policies supported by current production schedulers ...
Abstract. We claim that the current scheduling systems for high performance computing environments a...
This paper presents lottery scheduling, a novel randomized resource allocation mechanism. Lottery sc...
Time-sensitive applications that are also CPU intensive like video games, video playback, eye-candy ...
In this paper, we present surplus fair scheduling (SFS), a proportional-share CPU scheduler designed...
In this chapter, we’ll examine a different type of scheduler known as a proportional-share scheduler...
Loosely, fairness is the assurance of granting each request from a set of requests within a predeter...
Resource management and job scheduling is a crucial task on large-scale computing systems. Despite y...
A multiprocessor system often has more jobs ready to execute than processors available on which to r...
Fair share is one of the scheduling objectives supported on many production systems. However, fair s...
. We present a new scheduling method for batch jobs on massively parallel processor architectures. T...
Abstract: The multiprocessor computer systems become more popular for the improvement of the proces...
Computing and storage utilities must control resource usage to meet contractual performance targets ...