Identification and Management of Distributed Data

Although several books and academic courses discuss data management and networking, few of them focus on the convergence of networking and software technologies for identifying, addressing, and managing distributed data. Focusing on this convergence, Identification and Management of Distributed Data: NGN, Content-Centric Networks and the Web collates and describes the various distributed data management technologies to help readers from various backgrounds understand the common aspects that govern distributed data management.

With a focus on the primary problems in identifying, addressing, and managing information in a distributed environment, the book guides you through the discovery of distributed data management on the web, in next-generation networks (NGNs), and in new content-centric networking paradigms. It includes case studies from the Palo Alto Research Center and the Semantic Web Education and Outreach Interest Group that illustrate the convergence between software engineering and networking technologies.

Derived from academic courses, ongoing research, and the latest standardization initiatives, the book explains how the various layers of the existing Internet protocol stack already provide most of the functions that information engineers need to design efficient systems. Although the subject is broad, the book provides helpful insights into a number of critical technologies to provide you with the foundation required to build and deploy more efficient data interoperability paradigms in next-generation networks.