hadoop相关的外文文献

Hadoop是一个开源的大数据处理框架，最初由Apache软件基金会开发，用于分布式存储和计算大规模数据集。如果你想了解Hadoop的相关外文文献，以下是一些经典的资源：

1. "MapReduce: Simplified Data Processing on Large Clusters" by Google, 提供了关于MapReduce计算模型的原始论文，这是Hadoop的核心组件。论文发表在2004年的OSDI（操作系统设计大会）上：http://research.google.com/pubs/pub40685.html

2. "The Apache Hadoop Project" by Doug Cutting and Mike Cafarella, 介绍了Hadoop项目的起源、设计理念和早期架构。这篇论文通常可以在Hadoop的官方文档或技术会议报告中找到。

3. "Hadoop: The Definitive Guide" by Tom White, 是一本权威的Hadoop技术书籍，深入解析了Hadoop的各个组件和技术细节。

4. "Hadoop 2.0 YARN Architecture" by The Apache Hadoop Team, 在Hadoop 2.0版本引入了Yet Another Resource Negotiator (YARN)，这篇技术文档详细阐述了新的资源管理框架：https://hadoop.apache.org/docs/r2.7.3/hadoop-yarn/hadoop-yarn-site/YARN.html

5. "Scalable Computing with Hadoop" edited by Martin G. Lanham, Jr., 提供了关于如何利用Hadoop进行大规模数据处理的案例研究和最佳实践。

相关问题--
1. What is the main contribution of the "MapReduce: Simplified Data Processing on Large Clusters" paper?
2. How does Hadoop YARN architecture improve upon previous versions?
3. Are there any open access journals or conferences that regularly publish research on Hadoop advancements?