Distributed processor allocation for discrete event simulation and digital signal processing using a multiobjective evolutionary algorithm

被引:0
|
作者
Caswell, DJ [1 ]
Lamont, GB [1 ]
机构
[1] USAF, Inst Technol, Dept Elect & Comp Engn, Grad Sch Engn & Management, Wright Patterson AFB, OH 45433 USA
来源
CEC: 2003 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-4, PROCEEDINGS | 2003年
关键词
D O I
暂无
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
The use of large scale distributed systems for multiple perhaps heterogenous applications is becoming more commonplace. The organizations that are utilizing these resources must ensure that the applications are executed in a timely manner without unnecessary wasting the resources available on the distributed system. Characteristics of two distributed computing applications are presented; large scale discrete event simulation and a real-time digital signal processing activity. A stochastic processor allocation algorithm is developed for assigning processes to processors in an effective and efficient manner based upon application characteristics. In particular, a multiobjective evolutionary algorithm (MOEA) is created in order to examine Pareto results for such diverse processor allocation. The results indicate that the focus of the two distinct applications and the associated respective optimal regions have distinct differences.
引用
收藏
页码:1803 / 1810
页数:8
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