This paper addresses the pipeline processing of sequential workflows
in crowdsourcing. Sequential workflows consisting of several
subtasks are ubiquitous in crowdsourcing. Our approach is to control
the budget distribution to subtasks in order to balance the
execution speed of the subtasks and to improve throughput of
overall sequential workflows. As we cannot control the price for
earlier steps retrospectively in the stepwise batch execution, we explore
pipeline processing schemes. Our experimental results show
that our pipeline processing scheme with price control achieves
significantly higher throughput of sequential workflows.
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