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

Commanding parallel system architectures


In the last few years, multiple varieties of computing models provisioning great processing performance have been developed. They are classified depending on the memory allocated to their processors and how their alignment is designed. Some of the important parallel systems are as follows:

  • MPP
  • SMP
  • CC-NUMA
  • Distributed systems
  • Clusters

Let's get into a little more detail about each of these system architectures and review some of their important performance characteristics.

MPP

MPP, as the name suggests, is a huge parallel processing system developed in a shared nothing architecture. Such systems usually contain a large number of processing nodes that are integrated with a high-speed interconnected network switch. A node is nothing but an element of computers with a diverse hardware component combination, usually containing a memory unit and more than one processor. Some of the purpose nodes are designed to have backup disks or additional storage capacity....