Data Management in Cloud, Grid and P2P Systems
This book features on the distributed storage systems and visualizations. Distributed storage system enables many clients to access the information from the same system along with the features of create, delete, modify, read and write.
This book highlights the data management in grid cloud and peer to peer s systems in detail. Even the knowledge about the partioning of one single file into the several chunks and about the remote storage of these chunks has been described in depth. Even students may grasp about the supporting techniques for the distributed data storage and data center networking. How Mapreduce framework that performs with the data intensive computing applications in parallel and distributed system. How the client server architecture and cluster based architecture helps for building the distributed file systems through the network file system.
The text of the book has been organized in the sections that are data partitioning and consistency; RDF data publishing, querying linked data, and applications; and distributed storage systems and virtualization for the step by step learning of data management.