CAREER: Fluid Replication

职业：流体复制

• 批准号: 9984078
• 负责人: Brian Noble
• 金额: $ 20万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 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: 2000-05-01 至 2004-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9984078&HistoricalAwards=false
• 关键词: CAREER; Fluid; Replication

The performance of distributed information systems is becoming increasingly unpredictable. Past approaches to this problem either handle only a subset of root causes, or introduce new difficulties of their own. This project proposes fluid replication --- the automatic creation and placement of replicas in response to changing client demands and network capacities --- as a solution to this problem. These replicas are held on WayStations, which are infrastructural service nodes that can act as replica sites for both local and visiting users. The objective of this research is to construct four key mechanisms to enable fluid replication: an estimator for end-to-end network performance, a scalable scheme to locate WayStations, techniques for consistency management between WayStations and remote servers, and efficient client migration from one replica site to another. Prototypes of these mechanisms will be evaluated with standard workloads in both experimental and deployed networking testbeds. With these mechanisms, fluid replication promises to automatically match available resources to offered load. This reduces cost of administration, increases utilization of resources, and delivers improved performance to end-users.

分布式信息系统的性能变得越来越不可预测。 过去解决这个问题的方法要么只处理了根本原因的一部分，要么引入了新的困难。 该项目提出流体复制-自动创建和放置副本，以响应不断变化的客户端需求和网络容量-作为解决这个问题的方案。 这些副本保存在WayStations上，WayStations是基础设施服务节点，可以充当本地和访问用户的副本站点。 本研究的目的是构建四个关键机制，使流体复制：端到端网络性能的估计，一个可扩展的计划来定位WayStations，WayStations和远程服务器之间的一致性管理技术，和有效的客户端迁移从一个副本站点到另一个。 这些机制的原型将在实验和部署的网络测试平台中使用标准工作负载进行评估。 有了这些机制，流体复制承诺自动匹配可用资源提供的负载。 这降低了管理成本，提高了资源利用率，并为最终用户提供了更好的性能。