预测内存页稳定性及其在内存重复数据删除和实时迁移中的应用

2017 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) Pub Date : 2017-04-01 DOI:10.1109/ISPASS.2017.7975278

Karim Elghamrawy, D. Franklin, F. Chong

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引用次数: 2

摘要

在虚拟化环境中，有各种应用程序和操作依赖于内存页稳定性来实现令人满意的性能。包括虚拟机热迁移和内存重复数据删除。不幸的是，在现有的预测机制和实际行为之间存在着巨大的差距。这是我们希望缩小的差距。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Predicting memory page stability and its application to memory deduplication and live migration

There are various applications and operations in virtualized environments that rely on memory page stability to achieve satisfactory performance. These applications include VM live migration and memory deduplication. Unfortunately, there is a large gap between existing prediction mechanisms and actual behavior. This is the gap we hope to narrow.

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来源期刊

2017 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)

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