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适应性存储储存储策略用于Spark环境中的大量工作负载

Bohan Li1, Xin He1, Junyang Yu1

  • 1School of Software, Henan University, Kaifeng, Henan Province, China.

PeerJ. Computer science
|December 16, 2024
PubMed
概括

一个自适应性存储储备 (AMR) 策略有效地解决了Apache Spark中的重量工作负载的存储瓶. 这种方法通过优化任务并行性和内存配置,显著减少执行时间,提高计算效率.

关键词:
适应性存储储存储保留方式引发火花的环境存储位置的选择,存储位置的选择.任务并行性 任务并行性

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Improving short-term memory can be achieved through techniques like chunking and rehearsal. Chunking involves organizing information into larger, more manageable units. This technique is particularly useful for information that exceeds the typical memory span of between five and nine items. For instance, logging into an online account with a password like "ta89vq0179gz" involves grouping letters and numbers into three chunks—ta89, vq01, and 79gz. It makes large amounts of...
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