.png){kind=icon}
.png){kind=icon}
Return
Fuzzy simulation approach to multi-task scheduling in uncertain distributed server systems
.png){kind=icon}
PRE
AI
DOI：10.1080/00207543.2014.907516.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
The efficient scheduling of tasks in distributed server systems is of great importance to minimise the response time and thus improve the performance of such systems. This paper presents an integrated fuzzy simulation approach to improve the performance of distributed server systems. Performance is defined in terms of time-varying distributions of job arrival, job parallelism and task service demand with fuzzy parameters. In order to achieve the most efficient policies for job scheduling in this fuzzy system, an integrated fuzzy simulation approach is used. This is the first study that uses fuzzy simulation for performance improvement of uncertain distributed server systems.
Keywords:
distributed server systems
dispatching rules
fuzzy simulation
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
7.3
Papers:
1.1W
Citations:
3.7W