ITR: Data Centers - Managing Data with Profiles

本研究解决了将数据管理设施添加到固有自治的分布式信息源（如web中的信息源）的问题。这里所说的数据管理是指资源的分配和结构，以便为应用程序提供更灵敏的数据访问。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受控服务进行叠加。这可以通过引入基于数据中心的体系结构来实现，数据中心是一组为其客户端预准备和分发数据的机器。客户机应用程序提交描述其总体数据需求的概要文件，数据中心代表客户机收集数据并对其进行组织，以便提供有效的数据访问。本研究探讨了数据中心设计和运行的系统问题和技术。这包括管理大量配置文件、平衡大量用户需求和数据中心可用资源的启发式方法，以及根据数据中心管理的数据对未来客户端数据需求进行有效处理。

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.