Kernel Level Support for Workflow Patterns

Manish Kumar, T. Hacker, John A. Springer, B. Marshall
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引用次数: 1

Abstract

In the evolution of computing technology over the decades, file system capabilities have not grown in tandem to processing power. Today, scientific computing is highly data intensive and relies on workflows. Workflows developed are not portable among workflow management system. Also, scientific computation that rely on inherent workflows do not have a kernel support for workflows, and are executed essentially in a batch processing model. A file system that includes native kernel functionalities to support workflow execution would address the issue of parallel processing as well as portability. Such a file system would improve scientific computing performance. This paper describes an approach we developed to add workflow functionality to the Linux kernel and native file system to help simplify the use of workflow management systems for scientific computing.
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内核级支持工作流模式
在过去几十年计算技术的发展中,文件系统的能力并没有随着处理能力的增长而增长。今天,科学计算是高度数据密集型的,并且依赖于工作流。开发的工作流在工作流管理系统之间不具有可移植性。同样,依赖于固有工作流的科学计算没有对工作流的内核支持,本质上是在批处理模型中执行的。包含原生内核功能以支持工作流执行的文件系统将解决并行处理和可移植性问题。这样的文件系统将提高科学计算的性能。本文描述了我们开发的一种方法,将工作流功能添加到Linux内核和本机文件系统中,以帮助简化科学计算工作流管理系统的使用。
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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