Research Initiation Award: Automatic Storage Management for Real-Time, Near-real-time, and Distributed Systems

研究启动奖：实时、近实时和分布式系统的自动存储管理

• 批准号: 9410026
• 负责人: Paul Wilson
• 金额: $ 8.5万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1994
• 资助国家: 美国
• 起止时间: 1994-07-15 至 1998-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9410026&HistoricalAwards=false
• 关键词: Research; Initiation; Award; Automatic; Storage

This project explores techniques for automatic storage reclamation, especially for real-time and distributed systems. It compares techniques for incremental garbage collection in terms of efficiency, real-time guarantees, and performance for distributed data. The focus is on techniques that support high-performance on standard hardware, and standard compiler optimizations. The three major phases of the project are; (1) implementation and evaluation of a new real-time uniprocessor garbage collection algorithm which provides better real-time guarantees than incremental copying due to weaker coupling between the application and the garbage collector, (2) extensions of the algorithm for near real-time systems where some real-time guarantees can be sacrificed for higher performance, and (3) application of these incremental techniques as local garbage collectors in a distributed garbage collection system, where they will enable higher performance garbage collection of poorly distributed data.

这个项目探索了自动存储回收的技术，特别是对于实时和分布式系统。它从效率、实时保证和分布式数据的性能方面比较了增量垃圾收集技术。重点是在标准硬件上支持高性能的技术，以及标准编译器优化。 该项目的三个主要阶段是：（1）新的实时单处理器垃圾收集算法的实现和评估，由于应用程序和垃圾收集器之间的耦合较弱，该算法提供比增量复制更好的实时保证，（2）该算法用于近实时系统的扩展，其中为了更高的性能可以牺牲一些实时保证，以及（3）在分布式垃圾收集系统中将这些增量技术应用为本地垃圾收集器，其中它们将使得能够对分布不良的数据进行更高性能的垃圾收集。