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Hadoop Distributed File System and Google File System

Explore the architecture and core principles of Google File System and Hadoop Distributed File System. Understand how these systems manage fault tolerance, scalability, and optimized batch operations. Learn about chunk partitioning, replication strategies, and network topology considerations for distributed file storage.

Google File System (GFS)S. Ghemawat, H. Gobioff, and S.-T. Leung, “The Google File System,” Symposium on Operating Systems Principles ’03, 2003. is a proprietary distributed file system developed by Google. It is also the inspiration for the Hadoop Distributed File System (HDFS), a distributed file system developed as an Apache project.

Note: The basic design principles are similar for these two systems, with some small differences.

The core requirements of distributed file systems are as follows:

Fault tolerance

The system should continue to function despite any node failures.

Scalability

The system should be able to scale to huge volumes of stored information. ...