首页> 外文会议>High Performance Distributed Computing, 2001. Proceedings. 10th IEEE International Symposium on >Open data management solutions for problem solving environments: application of distributed authoring and versioning to the Extensible Computational Chemistry Environment
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Open data management solutions for problem solving environments: application of distributed authoring and versioning to the Extensible Computational Chemistry Environment

机译:用于问题解决环境的开放数据管理解决方案:分布式创作和版本控制在可扩展计算化学环境中的应用

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摘要

Next-generation problem solving environments (PSEs) promise significant advances over those now available. They will span scientific disciplines and incorporate collaboration capabilities. They will host feature-detection and other agents, allow data mining and pedigree tracking, and provide access from a wide range of devices. Fundamental changes in PSE architecture are required to realize these and other PSE goals. This paper focuses specifically on issues related to data management and recommends an approach based on open, metadata-driven repositories with loosely defined, dynamic schemas. Benefits of this approach are discussed and the redesign of the Extensible Computational Chemistry Environment's (Ecce) data storage architecture to use such a repository is described, based on the distributed authoring and versioning (DAV) standard. The suitability of DAV for scientific data, the mapping of the Ecce schema to DAV, and promising initial results are presented.
机译:下一代问题解决环境(PSE)有望比现有的解决方案取得重大进步。他们将跨越科学学科,并具有协作能力。他们将托管功能检测和其他代理,允许进行数据挖掘和谱系跟踪,并提供来自各种设备的访问权限。为了实现这些和其他PSE目标,需要对PSE体系结构进行根本性的更改。本文特别关注与数据管理相关的问题,并建议一种基于具有松散定义的动态模式的开放式,由元数据驱动的存储库的方法。讨论了此方法的好处,并基于分布式创作和版本控制(DAV)标准,描述了可扩展计算化学环境(Ecce)数据存储体系结构的重新设计以使用此类存储库。提出了DAV对科学数据的适用性,Ecce模式到DAV的映射以及有希望的初步结果。

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