Design, implementation and performance evaluation of GridRPC programming middleware for a large-scale computational grid

Yoshio Tanaka, H. Takemiya, H. Nakada, S. Sekiguchi
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引用次数: 49

Abstract

This paper reports on the design, implementation and performance evaluation of a suite of GridRPC programming middleware called Ninf-G Version 2 (Ninf-G2). Ninf-G2 is a reference implementation of the GridRPC API, a proposed GGF standard. Ninf-G2 has been designed so that it provides 1) high performance in a large-scale computational Grid, 2) the rich functionalities which are required to adapt to compensate for the heterogeneity and unreliability of a Grid environment, and 3) an API which supports easy development and execution of Grid applications. Ninf-G2 is implemented to work with basic Grid services, such as GSI, GRAM, and MDS in the Globus Toolkit version 2. The performance ofNinf-G2 was evaluated using a weather forecasting system which was developed using Ninf-G2. The experimental results indicate that high performance can be attained even in relatively fine-grained task-parallel applications on hundreds of processors in a Grid environment.
面向大规模计算网格的GridRPC编程中间件的设计、实现与性能评价
本文报道了一套网格pc编程中间件nif - g Version 2 (nif - g2)的设计、实现和性能评估。Ninf-G2是GridRPC API的参考实现,这是一个被提议的GGF标准。nif - g2的设计目的是:1)在大规模计算网格中提供高性能;2)提供丰富的功能,以适应网格环境的异构性和不可靠性;3)提供一个API,支持网格应用程序的轻松开发和执行。Ninf-G2被实现为与基本的网格服务一起工作,例如Globus Toolkit版本2中的GSI、GRAM和MDS。利用利用Ninf-G2开发的天气预报系统对Ninf-G2进行了性能评价。实验结果表明,即使在网格环境中,在数百个处理器上的相对细粒度的任务并行应用程序中,也可以获得高性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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