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Distributed Computing in Java 9

Distributed Computing in Java 9

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Distributed Computing in Java 9

Distributed Computing in Java 9

Overview of this book

Distributed computing is the concept with which a bigger computation process is accomplished by splitting it into multiple smaller logical activities and performed by diverse systems, resulting in maximized performance in lower infrastructure investment. This book will teach you how to improve the performance of traditional applications through the usage of parallelism and optimized resource utilization in Java 9. After a brief introduction to the fundamentals of distributed and parallel computing, the book moves on to explain different ways of communicating with remote systems/objects in a distributed architecture. You will learn about asynchronous messaging with enterprise integration and related patterns, and how to handle large amount of data using HPC and implement distributed computing for databases. Moving on, it explains how to deploy distributed applications on different cloud platforms and self-contained application development. You will also learn about big data technologies and understand how they contribute to distributed computing. The book concludes with the detailed coverage of testing, debugging, troubleshooting, and security aspects of distributed applications so the programs you build are robust, efficient, and secure.
Table of Contents (11 chapters)
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2
Communication between Distributed Applications
3
RMI, CORBA, and JavaSpaces

Distributed and decentralized databases


Let's start our discussion by understanding the definitions of distributed versus decentralized databases.

A distributed database is a single logical database, which is installed on a set of computers that are geographically located at different locations and linked through a data communication network. Different types of distributed database are classified based on the number of different database management systems operating on each of the remote computers, how these remote DBMS communicate and work together, and if they need a controlling master resource to synchronize the data update requests to each of the database instances. A decentralized database is a database that is installed on systems that are geographically located at different locations but "not" linked through a data communication network. This means that it is a group of independent database instances which have no logical connections between them.

Motivation for distributed databases...

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