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

Challenges in testing distributed applications


Distributed systems are observed to behave more dynamically compared to the single server systems, and they behave differently at different times. The systems involved in distributed computing can give the results to the tests performed individually.

However, when these small systems are integrated to form a large distributed system, the processing ability and the order of starting these individual processes and responding or returning values change the behavior of the distributed application rapidly. Such varying behavior of a distributed system complicates the testing of such systems.

Moreover, with the multiple different types of systems involved in the distributed system processing, the systems availability, topology, and the execution status highly affect the results of the same tests run at different times, which makes testing and considering such results as the baseline decided by the system behavior.

Maintaining interoperability among different...