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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

Docker CaaS


Docker is an open source project that helps automate the application deployment process to application containers.

Docker containers package application software within a comprehensive file system that comprises anything and everything that the application would need to run, including the application code, runtime environment, system tools and libraries that you usually request to carry out an installation, on your application server during deployment. With this feature, you ensure the application will execute and behave like any of your other environments, irrespective of the environment it is currently being executed in.

Docker offers an additional feature along with the ability to abstract and automate an OS simulation, both on Windows and Linux operating systems. With the help of the resource isolation feature of Linux--a kernel-like kernel namespace--and cgroups--a union capable file system such as OverlayFS--Docker provides the feature of running independent containers inside...

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