摘要
对一个动态自适应的ＮＯＷ（ｎｅｔｗｏｒｋｏｆｗｏｒｋｓｔａｔｉｏｎｓ）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．
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.
出处
《软件学报》
EI
CSCD
北大核心
1998年第10期734-739,共6页
Journal of Software
关键词
工作站网络
协同调度
动态自适应
算法
Network of workstations, co scheduling, dynamic adaptation.
