课题基金 / 基金详情

CAREER: New Technologies for Online Aggregation

CAREER: New Technologies for Online Aggregation
职业:在线聚合新技术
批准号:
0347408
负责人:
Christopher Jermaine
金额:
$43.97万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2004
资助国家:
美国
项目状态:
已结题
起止时间:
2004-05-15 至 2010-04-30

项目摘要

项目成果

Christopher Jermaine的其他基金

相似基金

相关文献

中文摘要
翻译
该项目涉及调查一种有前途的交互式大规模数据分析方法,称为在线汇总(奥拉)。在奥拉中,用户始终被告知对数据的查询的回答的当前估计,沿着回答的准确性的统计估计。奥拉的优点是,具有令人满意的精度的近似答案通常可以非常快速和廉价地计算,此时可以终止查询。该项目有两个目标-技术和教育。该项目的技术目标是设计和实现一个基本上基于奥拉的数据分析软件系统,而不是用一些奥拉功能来增强传统的批处理架构的软件。该项目重新考虑了数据管理问题,如索引,查询优化,连接算法和用户界面设计的上下文中的奥拉。评估是通过对所产生的软件进行严格的基准测试。该项目的教育目标是开发技术,利用教师的直接参与,以帮助确保保留开始工程专业的学生。该项目将通过开发有可能给软件行业目前致力于分析处理的35亿美元部分带来根本性变化的技术来实现广泛的影响。此外,通过调查确保未来工程师的保留和成功的方法,该项目将通过帮助确保国家的技术和科学领导地位来实现广泛的影响。项目网站http://www.cise.ufl.edu/~cjermain/OLA将用于传播结果。
英文摘要
The project is concerned with investigating a promising approach to interactive, large-scale data analysis, called online aggregation (OLA). In OLA, the user is kept informed at all times of the current estimate of the answer to a query over the data, along with a statistical estimate of the accuracy of the answer. The advantage of OLA is that an approximate answer with satisfactory accuracy can often be computed very quickly and inexpensively, at which time the query can be terminated. The project has two goals - technological and educational. The technological goal of the project is designing and implementing a software system for data analysis that is fundamentally based on OLA, as opposed to software that augments the traditional, batched processing architecture with some OLA capabilities. The project reconsiders data management issues such as indexing, query optimization, join algorithms, and user interface design in the context of OLA. Evaluation is via rigorous benchmarking of the software produced. The educational goal of the project is development of techniques the make use of direct faculty involvement to help ensure retention of beginning engineering students. The project will achieve broad impact by developing techniques with potential to bring about a fundamental change in the $3.5 billion segment of the software industry now devoted to analytic processing. Also, by investigating ways to ensure the retention and success of tomorrow's engineers, the project will achieve broad impact by helping to ensure the technological and scientific leadership of the nation. The project Web site http://www.cise.ufl.edu/~cjermain/OLA will be used for the results dissemination.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Collaborative Research: SHF: Medium: Semantics-Aware Neural Models of Code
  • 批准号:
    2212557
  • 项目类别:
    Standard Grant
  • 资助金额:
    $40.0万
  • 财政年份:
    2022
  • 负责人:
    Christopher Jermaine
  • 依托单位:
Collaborative Research: CISE-MSI: RPEP: III: celtSTEM Research Collaborative: Catapulting MSI Faculty and Students into Computational Research.
  • 批准号:
    2131294
  • 项目类别:
    Standard Grant
  • 资助金额:
    $48.85万
  • 财政年份:
    2021
  • 负责人:
    Christopher Jermaine
  • 依托单位:
III: Small: Applying Relational Database Design Principles to Machine Learning System Design
  • 批准号:
    2008240
  • 项目类别:
    Standard Grant
  • 资助金额:
    $50.0万
  • 财政年份:
    2020
  • 负责人:
    Christopher Jermaine
  • 依托单位:
Expeditions: Collaborative Research: Understanding the World Through Code
  • 批准号:
    1918651
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $123.72万
  • 财政年份:
    2020
  • 负责人:
    Christopher Jermaine
  • 依托单位:
海外基金