Accelerating Parameter Sweep Workflows by Utilizing Ad-hoc Network Computing Resources: an Ecological Example Manual
This paper presents a method for using distributed computing technology in scientific workflows, which can achieve parallel execution of parameter sweep workflows on ad-hoc network computing resources, thereby significantly improving workflow execution performance. The method implements a Master-Slave distributed execution framework in the Kepler scientific workflow environment, which can realize parallel and independent execution of sub-workflows, and verifies the usability and time efficiency of the method through a use case in the theoretical ecology domain.
Brand: Accelerating
File format: PDF
Size: 411 KB
MD5 Checksum: 9BF384629700A0536A34E7CC089385E5
Publication date: 25 April, 2012
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