Hierarchical submission in a Grid environment

P. Vargas, I. Dutra, V. D. D. Nascimento, Lucas A. S. Santos, L. Silva, C. Geyer, B. Schulze
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引用次数: 5

Abstract

One of the challenges in grid computing research is to provide means to automatically submit, manage, and monitor applications which spread a large number of tasks. The usual way of managing these tasks is to represent each one as an explicit node in a graph, and this is the approach taken by many grid systems up to date. This approach can quickly saturate the machine where the application is launched, as we increase the number of tasks. In this work we present and validate a novel architectural model, GRAND (Grid Robust ApplicatioN Deployment), whose main objective is to deal with the problem of memory and load saturation of the submission machine. GRAND is implemented at a middleware level, aiming at providing a distributed task submission through a hierarchical organization. This paper provides an overview of the GRAND submission model as well our implementation. Initial results show that our approach can be much more effective than other approaches in the literature.
网格环境中的分层提交
网格计算研究的挑战之一是提供自动提交、管理和监控应用程序的方法,这些应用程序分散了大量的任务。管理这些任务的通常方法是将每个任务表示为图中的显式节点,这是目前许多网格系统采用的方法。随着任务数量的增加,这种方法可以迅速使启动应用程序的机器饱和。在这项工作中,我们提出并验证了一个新的体系结构模型,GRAND(网格健壮应用程序部署),其主要目标是处理提交机的内存和负载饱和问题。GRAND是在中间件级别实现的,旨在通过分层组织提供分布式任务提交。本文概述了GRAND提交模型以及我们的实现。初步结果表明,我们的方法可以比文献中的其他方法更有效。
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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