Google Code for Educators - Google: Cluster Computing and MapReduce

Below are some cool Google videos on cluster computing.

Google: Cluster Computing and MapReduce

This submission contains video lectures and related course materials from a series of lectures that was taught to Google software engineering interns during the Summer of 2007.

Lectures

Lecture 1 - Introduction

Distributed systems overview, review of synchronization and networking.

Slides - Introduction to Distributed System Design

Lecture 2 - MapReduce

Overview of the MapReduce programming model.

Slides - MapReduce

Lecture 3 - Distributed File Systems

Overview of distributed file systems with attention to the Google File System.

Slides - The Google File System

Lecture 4 - Clustering Algorithms

Types of clustering algorithms, MapReduce implementations of K-Means and Canopy Clustering

Slides - Canopy Clustering

Lecture 5 - Graph Algorithms

Graph representations, distributed Pagerank, distributed Dijkstra.

Slides - The Anatomy of a Search Engine

Google Code for Educators - Google: Cluster Computing and MapReduce