Ming Tai Ha

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Resource selection and task placement for distributed executions pose conceptual and implementation difficulties. Although resource selection and task placement are at the core of many tools and workflow systems, the models and methods are underdeveloped. Consequently, partial and noninteroperable implementations proliferate. We address both the conceptual(More)
We introduce a pilot-based approach with which scalable data analytics essential for a large RNA-seq data set are efficiently carried out. Major development mechanisms, designed in order to achieve the required scalability, in particular, targeting cloud environments with on-demand computing, are presented. With an example of Amazon EC2, by harnessing(More)
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