工作流驱动的团队科学方法与框架
Towards A Methodology and Framework for Workflow-Driven Team Science
摘要：
科学工作流是管理可扩展实验的强大工具，通常由在分布式资源上运行的复杂任务组成。现有的网络基础设施提供了可以在可重复的工作流程中使用的组件。然而，数据和计算的进步不断改变科学工作流程的开发和执行方式，推动科学活动更加数据驱动，异构和协作。今天的工作流开发依赖于跨学科团队的有效协作和沟通，不仅与人类，而且与分析系统和基础设施。本文提出了一个以协作为中心的参考架构，扩展工作流系统与系统和基础设施的动态，可预测和可编程的接口，同时桥接的探索性和可扩展的活动在科学的过程。我们还提出了一个概念设计，以开发有效的工作流驱动的协作的方法和工具，即PPoDS方法和SmartFlows工具包，用于在快速发展的网络基础设施生态系统中智能利用工作流。
英文摘要：
Scientific workflows are powerful tools for management of scalable experiments, often composed of complex tasks running on distributed resources. Existing cyberinfrastructure provides components that can be utilized within repeatable workflows. However, data and computing advances continuously change the way scientific workflows get developed and executed, pushing the scientific activity to be more data-driven, heterogeneous and collaborative. Workflow development today depends on the effective collaboration and communication of a cross-disciplinary team, not only with humans but also with analytical systems and infrastructure. This paper presents a collaboration-centered reference architecture to extend workflow systems with dynamic, predictable and programmable interfaces to systems and infrastructure while bridging the exploratory and scalable activities in the scientific process. We also present a conceptual design towards the development of methodologies and tools for effective workflow-driven collaborations, namely the PPoDS methodology and the SmartFlows Toolkit for smart utilization of workflows in a rapidly evolving cyberinfrastructure ecosystem.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
