ITR: DataMotion - Dealing With Fast-Moving Data

ITR：DataMotion - 处理快速移动的数据

• 批准号: 0324431
• 负责人: Hector Garcia-Molina
• 金额: $ 205.61万
• 依托单位: Stanford University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-09-01 至 2010-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0324431&HistoricalAwards=false
• 关键词: ITR; DataMotion; Dealing; Fast; Moving

The goal of this project is to build a new infrastructure, called DataMotion, for managing and analyzing large volumes of dynamic and diverse data. Today, most information systems ? even those handling multiple, distributed, heterogeneous data sources ? are based on stored and relatively static data sets. However, much of the most critical information today is highly dynamic, coming instead in the form of multiple, rapid, time-varying data streams. The volume is so high that it is difficult to store all the information in conventional databases. A much better approach is to route the stream to the interested users, while in the process filtering according to user's interests, combining the stream with other relevant streams, and performing real-time analysis of the data whenever possible. DataMotion enables such distributed, real-time processing.This project will consist of 4 inter-related research thrusts: (a) How to perform traditional database and data mining operations on streams; (b) How to generate streams, and how to present streams to users; (c) How to route streams to distributed users with differing information needs; and (d) How to ensure the security and privacy of streams.

这个项目的目标是建立一个新的基础设施，称为DataMotion，用于管理和分析大量的动态和多样化的数据。 今天，大多数信息系统？即使是那些处理多个、分布式、异构数据源的系统？基于存储的和相对静态的数据集。 然而，当今大多数最关键的信息都是高度动态的，而是以多个、快速、随时间变化的数据流的形式出现。 数据量如此之大，以至于很难将所有信息存储在传统的数据库中。 一个更好的方法是将流路由到感兴趣的用户，同时在该过程中根据用户的兴趣进行过滤，将流与其他相关流组合，并尽可能地执行数据的实时分析。DataMotion使这种分布式的，实时的处理。这个项目将包括4个相互关联的研究重点：（a）如何执行传统的数据库和数据挖掘操作的流;（B）如何生成流，以及如何向用户呈现流;（c）如何路由流到不同的信息需求的分布式用户;和（d）如何确保流的安全性和隐私。