Book Image

Distributed Computing in Java 9

Book Image

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 (17 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
Customer Feedback
2
Communication between Distributed Applications
3
RMI, CORBA, and JavaSpaces

CaaS


CaaS is a secured IT-managed application environment of a particular infrastructure and content where developers can build and deploy applications on their own.

Docker CaaS is a Docker native solution with full support for the Docker API for performing Docker tasks effectively.

Developers and IT operations teams collaborate through the registry, as represented in the following CaaS diagram. This registry service contains a library of secure and signed images. Developers can develop the code and push the content to the registry and pull it from the registry for any future updates; you can pull it after the updates and testing are done, as represented on the left-hand side of the following diagram. The deployment process can also be automated with Continuous Integration (CI) tools instead of doing a manual deployment.

The following diagram represents the CaaS workflow:

On the right-hand side of the preceding diagram, we have the IT operations team who are responsible for managing different...