Google Code for Educators - Distributed Systems
Google Code for Educators - Distributed Systems
Distributed Systems
One of the most important recent developments in computing is the growth in distributed and parallel applications. In these tutorials, we distinguish between local programming (on a single machine) and distributed programming using multiple components via a network.
We cover what designers and programmers need to consider in developing applications in a distributed environment. We also cover parallel computation using an open source tool called Hadoop, which is a MapReduce implementation, running on a distributed file system. The goal is to help build an understanding of these important new trends, and provide opportunities to practice with them.
Distributed Systems
One of the most important recent developments in computing is the growth in distributed and parallel applications. In these tutorials, we distinguish between local programming (on a single machine) and distributed programming using multiple components via a network.
We cover what designers and programmers need to consider in developing applications in a distributed environment. We also cover parallel computation using an open source tool called Hadoop, which is a MapReduce implementation, running on a distributed file system. The goal is to help build an understanding of these important new trends, and provide opportunities to practice with them.

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