【摘要】 网格技术和Web服务的发展,促成了服务计算的诞生和发展.本文在面向服务的架构下,重新研究传统计算网格下的高性能计算.首先,针对高性能计算应用的特点,结合面向服务的思想,提出了一种层次资源管理体系结构.其次,分析了适用于网格环境的高性能计算应用的程序结构,并通过有向无循环图(DAG)加以表示.第三,基于上述的资源管理体系结构和高性能计算应用模型,提出了一种改进的动态优先级调度算法.最后,通过仿真实验,分析了提出的算法的性能,实验结果表明提出的算法适用于网格环境,进而验证了本文提出的面向服务的网格高性能计算策略的有效性.更多还原

【Abstract】 With the development of grid technology and Web service, service computing comes into being and is developing with time. In this paper, high performance computing is restudied based on the service-oriented architecture, which had been implemented in traditional computational grid. Firstly, according to the characteristic of high performance computing applications, a hierarchical resource management architecture is presented in combination with the service-oriented principle, which includes grid portal, global resource management level and local resource management level. Secondly, the program structure of high performance computing applications in the grid environment is analyzed and represented by the directed acyclic graph (DAG). Thirdly, a modified dynamic level scheduling algorithm is presented in accordance with the above resource management architecture and the high performance computing application model. Finally, the performance of the presented algorithm is tested with the simulation experiments, and experimental results show that the presented algorithm is suitable for the grid environment, further validate that the presented strategy for the service-oriented high performance computing is effective.更多还原