<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>开源 on haifeiWu</title><link>https://haifeiWu.github.io/tags/%E5%BC%80%E6%BA%90/</link><description>Recent content in 开源 on haifeiWu</description><generator>Hugo -- gohugo.io</generator><language>zh-cn</language><managingEditor>whfstudio@163.com (haifeiWu)</managingEditor><webMaster>whfstudio@163.com (haifeiWu)</webMaster><copyright>© 2016～2026 haifeiWu</copyright><lastBuildDate>Tue, 18 Jun 2024 18:32:24 +0800</lastBuildDate><atom:link href="https://haifeiWu.github.io/tags/%E5%BC%80%E6%BA%90/index.xml" rel="self" type="application/rss+xml"/><item><title>Hadoop MapReduce：一个十年回顾与未来趋势（论文综述）</title><link>https://haifeiWu.github.io/posts/hadoop-mapreduce-yigeshinianhuiguyuweilaiqushi-lunwenzongshu/</link><pubDate>Tue, 18 Jun 2024 18:32:24 +0800</pubDate><author>whfstudio@163.com (haifeiWu)</author><guid>https://haifeiWu.github.io/posts/hadoop-mapreduce-yigeshinianhuiguyuweilaiqushi-lunwenzongshu/</guid><description>在过去的十年中，Hadoop MapReduce 成为了处理大规模数据集的主流框架。它通过简化复杂数据处理任务，并提供了高度可扩展、容错性强且成本效益高的计算解决方案而获得成功。</description></item></channel></rss>