摘要
文中以星型网格应用环境中独立任务周期性调度的研究成果为基础,通过分析网格平台分别处于非饱和态、临界态以及冗余态时的性质,提出了拓扑结构优化方法——静态优化与动态优化,给出了一种星型网格计算能力与资源利用率的度量方法;在静态优化方面,解决网格拓扑结构最优化的判断问题,给出组建最优化星型网格的方法;在动态优化方面,研究了网格拓扑结构动态变化时节点的准入策略;还根据网格计算能力与动态负载的匹配情况,提出了网格拓扑结构动态优化算法.最后给出了网格平台的扩展策略.
Based on the periodic scheduling research of independent tasks on the star -based grid , a new topology optimization method including static and dynamic optimizations is proposed for the star-based grid by analyzing different features of grid platforms respectively in unsaturated , critical and redundant states , and a method to measure the computing capability and resource utilization of the star-based grid is put forward .Through the static optimization , the optimal grid topology structure is identified , and a method to build the optimal grid platform is presented . Through the dynamic optimization , the admittance strategies of a new node to the grid platform with the dynamic topology structure are discussed .Then, by mapping the computing capability to the dynamic loads , a dynamic opti-mization algorithm of grid topology structure is raised .Finally, the expansion strategy of grid platform is devised .
出处
《华南理工大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2014年第7期9-14,共6页
Journal of South China University of Technology(Natural Science Edition)
基金
"核高基"国家科技重大专项(2012ZX01039-004-03-2)
广东省教育部产学研合作专项(2012B091100420)
广东省新媒体与品牌传播创新应用重点实验室资助项目(2013WSYS0002)
关键词
网格计算
拓扑结构优化
线性规划
云计算
分布式计算
grid computing
topology optimization
linear programming
cloud computing
distributed computing