Distributed Computing in Java 9

Explore the power of distributed computing to write concurrent, scalable applications in Java
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Distributed Computing in Java 9

Raja Malleswara Rao Pattamsetti

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Explore the power of distributed computing to write concurrent, scalable applications in Java
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Book Details

ISBN 139781787126992
Paperback304 pages

Book 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.

Table of Contents

Chapter 1: Quick Start to Distributed Computing
Parallel computing
Distributed computing
Parallel versus distributed computing
Design considerations for distributed systems
Summary
Chapter 2: Communication between Distributed Applications
Client-server communication
Chapter 3: RMI, CORBA, and JavaSpaces
RMI
JavaSpaces
Chapter 4: Enterprise Messaging
EMS
JMS
Web services
Enterprise integration patterns
Chapter 5: HPC Cluster Computing
Era of computing
Commanding parallel system architectures
Java support for high-performance computing
Java support for parallel programming models
Java 9 updates for processing an API
Summary
Chapter 6: Distributed Databases
Distributed and decentralized databases
Distributed database environments
Distributed database setup methodologies
Distributed DBMS architecture
Java Database Connectivity
Summary
Chapter 7: Cloud and Distributed Computing
What is cloud computing?
Features of cloud computing
Cloud versus distributed computing
Cloud service providers
AWS
Docker CaaS
CaaS
Java 9 support
Summary
Chapter 8: Big Data Analytics
What is big data?
Big data characteristics
NoSQL databases
Hadoop, MapReduce, and HDFS
Distributed computing for big data
ZooKeeper for distributed computing
Summary
Chapter 9: Testing, Debugging, and Troubleshooting
Challenges in testing distributed applications
Standard testing approach in software systems
Cloud distributed application testing
Latest tools for testing Java distributed applications
Debugging and troubleshooting distributed applications
Summary
Chapter 10: Security
Security issues and concerns
Two-way Secure Sockets Layer (SSL) implementation
Cloud computing security
Security enhancements in Java 9
Summary

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

Authors

Table of Contents

Chapter 1: Quick Start to Distributed Computing
Parallel computing
Distributed computing
Parallel versus distributed computing
Design considerations for distributed systems
Summary
Chapter 2: Communication between Distributed Applications
Client-server communication
Chapter 3: RMI, CORBA, and JavaSpaces
RMI
JavaSpaces
Chapter 4: Enterprise Messaging
EMS
JMS
Web services
Enterprise integration patterns
Chapter 5: HPC Cluster Computing
Era of computing
Commanding parallel system architectures
Java support for high-performance computing
Java support for parallel programming models
Java 9 updates for processing an API
Summary
Chapter 6: Distributed Databases
Distributed and decentralized databases
Distributed database environments
Distributed database setup methodologies
Distributed DBMS architecture
Java Database Connectivity
Summary
Chapter 7: Cloud and Distributed Computing
What is cloud computing?
Features of cloud computing
Cloud versus distributed computing
Cloud service providers
AWS
Docker CaaS
CaaS
Java 9 support
Summary
Chapter 8: Big Data Analytics
What is big data?
Big data characteristics
NoSQL databases
Hadoop, MapReduce, and HDFS
Distributed computing for big data
ZooKeeper for distributed computing
Summary
Chapter 9: Testing, Debugging, and Troubleshooting
Challenges in testing distributed applications
Standard testing approach in software systems
Cloud distributed application testing
Latest tools for testing Java distributed applications
Debugging and troubleshooting distributed applications
Summary
Chapter 10: Security
Security issues and concerns
Two-way Secure Sockets Layer (SSL) implementation
Cloud computing security
Security enhancements in Java 9
Summary

Book Details

ISBN 139781787126992
Paperback304 pages
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