DC: Large: Collaborative Research: ASTERIX: A Highly Scalable Parallel Platform for Semistructured Data Management and Analysis

DC：大型：协作研究：ASTERIX：用于半结构化数据管理和分析的高度可扩展并行平台

• 批准号: 0910820
• 负责人: Alin Deutsch
• 金额: $ 59.98万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-15 至 2014-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0910820&HistoricalAwards=false
• 关键词: DC; Large; Collaborative; Research; ASTERIX

The evolution of the "human Web," powered by HTML and HTTP, has revolutionized the way that people find information, buy things, communicate, and collaborate. Web services and semi-structured data formats are having a similar impact on the "machine Web." XML is enriching our ability to find and interchange information today; industry verticals have created XML-based data exchange standards; and XML backbones have gained adoption in support of service-oriented architectures and software-as-a-service initiatives. Other semi-structured formats, like JSON, are playing similar roles, and XML is increasingly being used for its original purpose of semantic document markup. As a result, the world will soon be awash in a sea of semi-structured information. The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information. The project is combining ideas from three distinct areas - semi-structured data, parallel databases, and data-intensive computing - to create a next-generation, open source software platform that scales by running on large, shared-nothing computing clusters. ASTERIX targets a wide range of semi-structured information, ranging from "data" use cases - where information is well-tagged and highly regular - to "content" use cases - where data is irregular and much of each datum is textual. ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with today's data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information.Project website: http://asterix.ics.uci.edu/

由HTML和HTTP提供支持的“人网”的演变彻底改变了人们找到信息，购买东西，交流和协作的方式。 Web服务和半结构化数据格式对“机器网络”有类似的影响。 XML正在丰富我们今天查找和互换信息的能力；行业垂直行业创建了基于XML的数据交换标准；和XML骨架已获得采用，以支持面向服务的体系结构和软件即服务计划。其他半结构格式（例如JSON）也扮演着相似的角色，XML越来越多地用于其语义文档标记的原始目的。结果，世界将很快成为半结构化信息的海洋。 Asterix项目正在开发用于摄入，存储，管理，索引，查询，分析和订阅大量半结构信息的新技术。该项目正在结合来自三个不同领域的想法 - 半结构化数据，并行数据库和数据密集型计算 - 创建下一代开源软件平台，该平台通过在大型，共享的无共享计算簇上运行来扩展。 Asterix针对广泛的半结构信息，范围从“数据”用例（信息良好且高度规则）到“内容”用例，其中数据不规则，每个基准的大部分都是文本的。 Asterix正在对数据格式采取公开立场，并解决了研究问题，包括高度可扩展的数据存储和非常大的群集上的半结构化查询处理，并将并行数据库技术与当今数据密集型计算技术合并，以支持性能的解决方案，以支持性能的解决方案，以分析半结构的信息。