Building a distributed application invites many new challenges that include partial failure, latency, synchronization, OS compatibility, data consistency, and so on. To address these issues, JavaSpaces was introduced. It provides a powerful and high-level tool for developing robust distributed applications. It works as per shared-network-based space that saves both object storage and exchange area.
-
Book Overview & Buying
-
Table Of Contents
-
Feedback & Rating

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)
Preface
Quick Start to Distributed Computing
Communication between Distributed Applications
RMI, CORBA, and JavaSpaces
Enterprise Messaging
HPC Cluster Computing
Distributed Databases
Cloud and Distributed Computing
Big Data Analytics
Testing, Debugging, and Troubleshooting
Customer Reviews