ITR: Data Centers - Managing Data with Profiles

ITR：数据中心 - 使用配置文件管理数据

• 批准号: 0086057
• 负责人: Stanley Zdonik
• 金额: --
• 依托单位: Brown University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-09-01 至 2007-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0086057&HistoricalAwards=false
• 关键词: ITR; Data; Centers; Managing; Profiles

This research addresses the problem of adding data management facilities to inherently autonomous, distributed information sources such as those that occur in the web. Here, by data management, is meant the allocation and structuring of resources to provide more responsive access to data for applications. In this kind of environment, data management must be superimposed through an independently controlled service that exists between the data sources and the applications. This is facilitated through the introduction of architecture based on data centers, a collection of machines that prestage and distribute data for its clients. Client applications submit profiles describing their overall data needs, and the data center gathers data and organizes it on behalf of their clients in order to provide efficient data access. This research explores systems issues and techniques for the design and operation of data centers. This includes the management of large numbers of profiles, heuristics for balancing the needs of large numbers of users against the available resources of the data center, and the efficient processing of future client data needs against the data that is managed by the data center.

这项研究解决了在固有的自治，分布式信息源，如那些发生在网络中的数据管理设施的问题。在这里，数据管理意味着资源的分配和结构化，以提供对应用程序数据的更快响应的访问。在这种环境中，数据管理必须通过存在于数据源和应用程序之间的独立控制的服务进行叠加。这是通过引入基于数据中心的架构来实现的，数据中心是一组为客户预处理和分发数据的机器。客户端应用程序提交描述其整体数据需求的配置文件，数据中心代表客户端收集数据并组织数据，以提供高效的数据访问。本研究探讨了数据中心设计和运营的系统问题和技术。这包括大量配置文件的管理，用于平衡大量用户需求与数据中心可用资源的策略，以及针对数据中心管理的数据有效处理未来客户端数据需求。