SGER: The Chaotic Behavior of Automatic Memory Management

SGER：自动内存管理的混乱行为

• 批准号: 0836542
• 负责人: J. Eliot Moss
• 金额: --
• 依托单位: University of Massachusetts Amherst
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-15 至 2010-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0836542&HistoricalAwards=false
• 关键词: SGER; Chaotic; Behavior; Automatic; Memory

"Garbage collection" is the quaint name for automatic storage management, a feature common to many modern programming languages, notably Java. It has always been a cause of varying performance, though advances in garbage collection (GC) algorithms and tuning over the past two decades have made it tolerable for some production applications.Chaos, as popularized by the saying that the flapping of a butterfly's wings might determine whether a hurricane occurs halfway around the globe, is the study of complex non-linear systems. Chaotic systems are not random, just very complex, requiring different tools to analyze and understand them. Chaos also places bounds on what we can know or predict about a system, and on how we can control it.Over the last twenty years there was some evidence collected that GC, and computer systems in general, are chaotic. This SGER project will try to build evidence one way or the other. The implications are significant in terms of the predictability and controllability of this aspect of computer systems. However, the work is also significant as a focused step in understanding the possible chaotic nature of many aspects of computer systems, as a few researchers have begun to collect evidence.

“垃圾收集”是自动存储管理的古朴名称，这是许多现代编程语言（尤其是Java）共有的功能。尽管在过去的二十年中，垃圾收集算法（GC）算法的进步（GC）算法的进步一直是导致性能变化的原因。在某些生产应用中可以忍受它。混沌系统不是随机的，只是非常复杂，需要不同的工具来分析和理解它们。混乱还对我们可以知道或预测系统的知识以及如何控制它的范围构成了界限。在过去的二十年中，有一些证据表明，GC和计算机系统一般都是混乱的。这个SGER项目将尝试以一种或另一种方式建立证据。就计算机系统的这一方面的可预测性和可控性而言，这些含义具有重要意义。但是，由于一些研究人员开始收集证据，这项工作也是理解计算机系统许多方面可能混乱性质的重点步骤。