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Distributed Computing in Java 9
Distributed Computing in Java 9

Distributed Computing in Java 9: Leverage the latest features of Java 9 for distributed computing

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Distributed Computing in Java 9

Communication between Distributed Applications

The emergence of the internet and World Wide Web (WWW) as global media for communication has revolutionized the fields of engineering, e-commerce, and scientific applications. Modern applications, such as the ones related to social media, entertainment, and banking, are no longer strangers to mobile operations carried out through smartphones. Organizations in these domains have been investing a lot into technology to find newer ways of providing services. Gone are the days when we use to make calls to receive services; we now have mobile applications for almost everything, including health, food, banking, and communication. Global organizations obviously chose distributed web applications over legacy/desktop applications, which helped distributed applications evolve; subsequently, communication between such applications became a vital...

Client-server communication

Client-server applications are configured on a network (internet/intranet). Clients send requests to the server for a resource and, in turn, receive responses from the server. A computer that can send such requests for a resource/service is called a client, and the computer that contains the program that provides the requested resource/service to more than one client is called a server. Both clients and servers can be connected through a wired/wireless network protocol:

In the preceding figure, client-server communication can be visualized as a program running on the client machine interacting with another program running on the server machine. This communication through the network involves networking services offered by diverse communication protocols.

In a single processor system, applications can talk to each other through shared memory. The producer...

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Key benefits

  • ? Make the best of Java 9 features to write succinct code
  • ? Handle large amounts of data using HPC
  • ? Make use of AWS and Google App Engine along with Java to establish a powerful remote computation system

Description

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.

Who is this book for?

This book is for basic to intermediate level Java developers who is aware of object-oriented programming and Java basic concepts.

What you will learn

  • ? Understand the basic concepts of parallel and distributed computing/programming
  • ? Achieve performance improvement using parallel processing, multithreading, concurrency, memory sharing, and hpc cluster computing
  • ? Get an in-depth understanding of Enterprise Messaging concepts with Java Messaging Service and Web Services in the context of Enterprise Integration Patterns
  • ? Work with Distributed Database technologies
  • ? Understand how to develop and deploy a distributed application on different cloud platforms including Amazon Web Service and Docker CaaS Concepts
  • ? Explore big data technologies
  • ? Effectively test and debug distributed systems
  • ? Gain thorough knowledge of security standards for distributed applications including two-way Secure Socket Layer

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jun 30, 2017
Length: 304 pages
Edition : 1st
Language : English
ISBN-13 : 9781787122734
Vendor :
Oracle
Languages :

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Product Details

Publication date : Jun 30, 2017
Length: 304 pages
Edition : 1st
Language : English
ISBN-13 : 9781787122734
Vendor :
Oracle
Languages :

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Java 9 Concurrency Cookbook, Second Edition
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Table of Contents

10 Chapters
Quick Start to Distributed Computing Chevron down icon Chevron up icon
Communication between Distributed Applications Chevron down icon Chevron up icon
RMI, CORBA, and JavaSpaces Chevron down icon Chevron up icon
Enterprise Messaging Chevron down icon Chevron up icon
HPC Cluster Computing Chevron down icon Chevron up icon
Distributed Databases Chevron down icon Chevron up icon
Cloud and Distributed Computing Chevron down icon Chevron up icon
Big Data Analytics Chevron down icon Chevron up icon
Testing, Debugging, and Troubleshooting Chevron down icon Chevron up icon
Security Chevron down icon Chevron up icon
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