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.

该项目的目的是建立一个称为DataMotion的新基础架构，用于管理和分析大量动态和不同数据。 今天，大多数信息系统？甚至那些处理多个，分布式，异构数据源的人？基于存储和相对静态的数据集。 但是，当今最关键的信息中的许多最关键的信息都是高度动态的，而是以多种，快速，时间变化的数据流的形式出现。 该卷如此之高，以至于很难将所有信息存储在常规数据库中。 一种更好的方法是将流将流将流与感兴趣的用户路由，同时根据用户的兴趣进行过滤，将流与其他相关流相结合，并尽可能对数据进行实时分析。 DataMotion启用了这种分布式的实时处理。此项目将由4个相关的研究推力组成：（a）如何在流上执行传统数据库和数据挖掘操​​作； （b）如何生成流以及如何向用户展示流； （c）如何将流到分布式用户有不同信息需求； （d）如何确保流的安全性和隐私。