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In manufacturing, there are many kinds of manufacturing resources, which belong to various enterprises. They are geographically distributed, morphology diversity and autonomy, which make the resource sharing and management are very complicated. In order to accommodate the requirements, large organization or enterprises has bought very expensive high performance computing infrastructures, such as supercomputing, cluster equipment and large scale data storage server. The main driving force is the increasing demands of large scale workflow collaborative applications in both e-Business and e-Science environment. Cloud computing is a promising solution to provide the resource scalability dynamically. In order to support large scale workflow applications, we present Nuts-LSWAP Cloud workflow architecture. The Nuts-LSWAP takes advantage of the Nuts platform infrastructure. Then, two key components which are scheduler and worker are introduced in this paper. Finally, three primary experiments are carried out and the results demonstrates the effectively for execution of workflow. It is primarily proved that the Nuts-LSWAP architecture is appropriate for building Cloud workflow environment.