A High-Level Distributed Execution Framework for Scientific Workflows
Indianapolis, IN(2008)
摘要
Domain scientists synthesize different data and computing resources to solve their scientific problems. Making use of distributed execution within scientific workflows is a growing and promising way to achieve better execution performance and efficiency. This paper presents a high-level distributed execution framework, which is designed based on the distributed execution requirements identified within the Kepler community. It also discusses mechanisms to make the presented distributed execution framework easy-to-use, comprehensive, adaptable, extensible and efficient.
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关键词
discusses mechanism,scientific workflows,scientific problem,execution requirement,kepler community,different data,execution framework,better execution performance,domain scientist,computing resource,computational modeling,distributed databases,computer architecture,distributed computing,registers,grid computing
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