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Towards provenance metadata on chemical-inspired workflow engines

机译:在化学启发的工作流引擎上实现起源元数据

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New paradigms are enabling the effective deployment and execution of distributed computing services. The chemical paradigm provides a high-level execution model that allows running scientific workflows in a fully decentralized manner. The paradigm is based on a nature metaphor and envisioned as a chemical reaction where molecules react autonomously according to local conditions. However, up to now, is the emerging chemical-inspired Scientific Workflow Management System (Chem-SWfMS) are decoupled from the concept of provenance. We posit that provenance metadata will play a central role in emerging advanced chemical-inspired workflow engines. In this paper we introduce the central role of provenance on the chemical programming model and also describe several requirements and desiderata for chemical-inspired workflow engines.
机译:新的范例使分布式计算服务的有效部署和执行成为可能。化学范例提供了高级执行模型,该模型允许以完全分散的方式运行科学工作流。该范例基于自然隐喻,并被设想为一种化学反应,其中分子根据当地条件自主反应。但是,到目前为止,新兴的受化学启发的科学工作流管理系统(Chem-SWfMS)与出处的概念脱钩了。我们认为,起源元数据将在新兴的先进化学启发式工作流引擎中发挥核心作用。在本文中,我们介绍了起源在化学程序设计模型中的核心作用,并描述了化学启发的工作流引擎的一些要求和需求。

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