Here are videos that I created to explain Hadoop's MapReduce framework from system's perspective. As a disclaimer, this video is at an abstraction that I liked, which means it might not be suitable for general Computer Science audience. If however, you have some experience with Hadoop, you should be fine. I have skipped over lot of Hadoop's features for simplicity and succinctness, like HDFS, Hadoop I/O, setting up/administering Hadoop cluster and writing Hadoop programs (and various high-level languages/tools that use Hadoop).
1. Job Submission at the client side
2. Job submission at the JobTracker side
3. Task Scheduling
4. Task Creation
5. Map execution
6. Reduce execution
Slides: PDF, Keynote
1. Job Submission at the client side
2. Job submission at the JobTracker side
3. Task Scheduling
4. Task Creation
5. Map execution
6. Reduce execution
Slides: PDF, Keynote
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