CI-ADDO-NEW: ASTERIX: A Community Software Platform for Big Data Research, Analysis, and Management

CI-ADDO-NEW：ASTERIX：用于大数据研究、分析和管理的社区软件平台

• 批准号: 1305253
• 负责人: Vassilis Tsotras
• 金额: $ 25万
• 依托单位: University of California-Riverside
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-01 至 2017-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1305253&HistoricalAwards=false
• 关键词: CI; ADDO; NEW; ASTERIX; Community

Vast quantities of digital information are being generated today on a daily basis through social networks, blogs, online communities, news sources, and mobile applications as well as our increasingly sensed surroundings. Tremendous insight can be gained by storing and making such ?Big Data? available for exploration in a wide variety of domains. Likely beneficiaries include business, social sciences, public health, national security, political science, public safety, medicine, and government policy. Researchers exploring these benefits need software to manage and analyze Big Data, and researchers investigating algorithms and programming models for Big Data can benefit tremendously by being provided with shared building blocks to use as a foundation for their efforts.Over the past 3.5 years we have developed an initial version of AsterixDB, a powerful new Big Data Management System (BDMS) for scalably storing, managing, searching, and analyzing collections of Big Data using clusters of commodity computers. AsterixDB has a layered code base that consists of a scalable runtime platform (Hyracks), a model-neutral framework for parallel query compilation for Big Data (Algebricks), and the end-user-targeted AsterixDB BDMS itself. This NSF project is turning AsterixDB and its internal software stack into robust, supported, open-source resources for use by the Big Data applications and technology research communities. AsterixDB and its components will be helpful in training students in Computer Science and other data-related sciences, at universities everywhere, about Big Data technologies. This is critical for addressing the information explosion being brought to us courtesy of social media and the mobile Web.

今天，通过社交网络、博客、在线社区、新闻来源和移动应用程序以及我们日益敏感的环境，每天都会产生大量的数字信息。通过存储和制作这样的大数据？可以获得巨大的洞察力。可用于各种领域的探索。可能的受益者包括商业、社会科学、公共卫生、国家安全、政治学、公共安全、医学和政府政策。探索这些优势的研究人员需要软件来管理和分析大数据，而研究大数据算法和编程模型的研究人员可以通过为他们的工作提供共享构建块来获得巨大的好处。在过去的3.5年里，我们开发了AsterixDB的初始版本，这是一个强大的新大数据管理系统(BDM)，用于使用商用计算机群集可扩展地存储、管理、搜索和分析大数据集合。AsterixDB有一个分层的代码库，由可伸缩的运行时平台(Hyracks)、用于大数据并行查询编译的模型中立框架(Algebricks)和面向最终用户的AsterixDB BDM本身组成。这个NSF项目正在将AsterixDB及其内部软件堆栈转变为强大的、受支持的开源资源，供大数据应用程序和技术研究社区使用。AsterixDB及其组件将有助于对世界各地大学的计算机科学和其他数据相关科学的学生进行大数据技术方面的培训。这对于解决社交媒体和移动网络给我们带来的信息爆炸至关重要。