| 本文已被:浏览 3895次 下载 5242次 |
 码上扫一扫! |
|
|
| 协同调度算法Dasic的性能评价 |
|
周笑波1,2, 陆桑璐1,2, 谢 立1,2
|
|
1.南京大学计算机软件新技术国家重点实验室,南京,210093;2.南京大学计算机科学与技术系,南京,210093
|
|
| 摘要: |
| 对一个动态自适应的NOW(network of workstations)协同调度算法Dasic算法进行了性能评估.通过对Dasic算法和典型的NOW协同调度算法MAX算法、Grab算法的性能模拟,在响应时间和系统流量两个主要性能指标上进行分析和比较,从而验证了在较大规模的NOW系统中,动态自适应对协同调度的性能有较大的影响. |
| 关键词: 工作站网络,协同调度,动态自适应. |
| DOI: |
| 分类号: |
| 基金项目:本文研究得到国家攀登计划基金资助. |
|
| Performance Evaluation of a Dynamically Adaptive Co-scheduling Algorithm |
|
ZHOU Xiao-bo,LU Sang-lu,XIE Li
|
| Abstract: |
| In this paper, the performance evaluation of a dynamically adaptive co-scheduling algorithm——Dasic based on network of workstations is presented. In terms of the aspects of mean response time and system flow, the Dasic algorithm is compared with traditional co-scheduling algorithm MAX and Grab algorithm by simulation. The conclusion is that dynamic adaptation can strikingly improve co-scheduling performance in a massive system of network of workstations. |
| Key words: Network of workstations, co-scheduling, dynamic adaptation. |