面向云数据分析的弹性内存管理

Proceedings of the 3rd ACM SIGMOD Workshop on Algorithms and Systems for MapReduce and Beyond Pub Date : 2016-06-26 DOI:10.1145/2926534.2926541

Jingjing Wang, M. Balazinska

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引用次数: 10

摘要

我们提出了在现代大数据系统中实现弹性内存管理的几个关键要素。我们方法的目标是在不过度配置的情况下避免内存不足故障，同时尽可能避免垃圾收集开销。

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Toward elastic memory management for cloud data analytics

We present several key elements towards elastic memory management in modern big data systems. The goal of our approach is to avoid out-of-memory failures without over-provisioning but also to avoid garbage-collection overheads when possible.

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Proceedings of the 3rd ACM SIGMOD Workshop on Algorithms and Systems for MapReduce and Beyond

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