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

Cloud service providers


With cloud computing becoming a renowned model in the industry, the market for cloud environment providers has increased rapidly. There are a number of cloud service providers available today, but we'll discuss some of the top service providers who have made a remarkable contribution to make the cloud model a successful platform.

Google came up with the PaaS-providing Google App Engine. It uses the Python application language and has tools such as the Google file system and data repositories, so it has a stable environment for running an application platform.

Red Hat OpenShift is another good competitor that provides PaaS providers. It has come up with different patterns such as the OpenShift origin, OpenShift online, OpenShift dedicated, and OpenShift container platform (Enterprise).

Amazon targeted the IaaS platform and became the key competitor in this industry with AWS. The reason for its success is the quality of services and availability it provides to all types...