Experiments with in-transit processing for data intensive grid workflows
Experiments with in-transit processing for data intensive grid workflows
复制标题
数据密集型网格工作流程的传输中处理实验
DOI：
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
S. Klasky
中科院分区：
文献类型：
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作者：
V. Bhat;M. Parashar;S. Klasky
高效、强大的数据流和传输中的数据操作是新兴科学和工程应用程序工作流程的关键要求，这些工作流程基于地理分布的应用程序组件之间的无缝交互和耦合。这项研究的总体目标是满足这些要求并开发数据流和传输中数据操作服务。在本文中，我们实验研究了传输中数据操作的反应性管理策略，以及广域数据流的协作端到端管理和数据密集型科学和工程工作流程的传输中数据操作。
Efficient and robust data streaming and in-transit data manipulations are critical requirements of emerging scientific and engineering application workflows, which are based on seamless interactions and coupling between geographically distributed application components. The overall goal of this research is to address these requirements and develop a data streaming and in-transit data manipulation service. In this paper, we experimentally investigate reactive management strategies for in-transit data manipulation, as well as cooperative end-to-end management for wide-area data-streaming and in-transit data manipulation for data-intensive scientific and engineering workflows.