Efficient Pipeline Processing of Crowdsourcing Workflows

作者: Ken Mizusawa , Keishi Tajima , Masaki Matsubara , Toshiyuki Amagasa , Atsuyuki Morishima

DOI: 10.1145/3269206.3269292

关键词: Pipeline (computing)CrowdsourcingScheme (programming language)Distributed computingComputer scienceThroughput (business)Workflow

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

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