Kernel level support for workflow patterns
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. Also, scientific computations 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. Such a file system would improve scientific computing performance. This thesis 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. The approach is compared to Kepler workflow management system.
Degree
M.S.
Advisors
Hacker, Purdue University.
Subject Area
Information Technology|Computer science
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