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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 Databases

Global organizations are geographically spread across and would like to maintain their information in the local database, where each database location is situated close to the organization site while making it accessible to global users. This brought the need for the database to have multiple instances and for information to be collated from these multiple systems connected over the communication network and administered through a central system/resource. This central control should allow the applications/users, from the same or different location to the database, to access both local and remote information to effectively support the distributed computing behavior. Such access of the distributed database from the application gets complicated when the application tries to add/update more information across it in a single transaction.

In this chapter, we will...

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