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Data Processing Workflow Automation in Grid Architecture

机译:网格架构中的数据处理工作流自动化

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Because of the poor performance and the expensive license cost, traditional relational database management systems are no longer good choices for processing huge amount of data. Grid computing is replacing the place of RDBMS in data processing. Traditionally a workflow is generated by data experts, which is time consuming, labor intensive and error prone. More over, it becomes the bottleneck of the overall performance of data processing in the grid architecture. This paper proposes a multi-layer workflow automation strategy that can automatically generate a workflow from a business language. A prototype has been implemented and a simulation has been designed
机译:由于性能低下和许可证成本昂贵,传统的关系数据库管理系统不再是处理大量数据的理想选择。网格计算正在取代RDBMS在数据处理中的位置。传统上,工作流是由数据专家生成的,这很耗时,费力且容易出错。而且,它成为网格体系结构中数据处理总体性能的瓶颈。本文提出了一种多层工作流自动化策略,该策略可以根据业务语言自动生成工作流。已实现原型并已设计了仿真

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