Name: Distributed Computing in Java 9
Author: Raja Malleswara Rao Pattamsetti
ISBN: 9781787122734

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Distributed Computing in Java 9

Raja Malleswara Rao Pattamsetti

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Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Why subscribe?
Customer Feedback
Preface
What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Downloading the example code
Errata
Piracy
Questions
Quick Start to Distributed Computing
Parallel computing
Amdahl s law
Distributed computing
Parallel versus distributed computing
Design considerations for distributed systems
Java support
Summary
Communication between Distributed Applications
Client-server communication
Sockets and streams
Socket programming for TCP
Reading from the socket
Socket programming for UDP
Multicasting
Streams
URLs, URLConnections, and the ContentHandler classes
URL (base URL and relative URL)
Practicality of URLs
ClassLoader
Summary
RMI, CORBA, and JavaSpaces
RMI
What is RMI?
Key terminologies of RMI
RMI for distributed computing
Writing an RMI server
Implementing a remote interface
Creating a client program
Compiling programs
Building a JAR file from the interface classes
Building the server classes
Building the client classes
Running a remote client program
Starting the server
Invoking the client
Common Object Request Broker Architecture (CORBA)
CORBA standards
Inter-ORB communication
Java support for CORBA
OMG IDL samples
Interfaces
Inheritance
Types and constants
Structures
Discriminated unions
Sequences
CORBA services
Sample CORBA program using JAVA IDL
IDL interface specification
Compiling the IDL
Client application
Object implementation
Defining the server
Compiling and starting the server
Executing the client
JavaSpaces
Overview
How it works
Sample JavaSpaces code
How Java 9 adds value
Summary
Enterprise Messaging
EMS
JMS
The publish/subscribe messaging paradigm
The Point-To-Point Messaging Paradigm
JMS interfaces
Developing a JMS application
Publish-Subscribe (topic) programming
Point-To-Point (queue) programming
Web services
Web service architectures
SOAP web services
RESTful web services
Building a SOAP web service using the JAX-WS API in RPC Style
Building SOAP web service using the JAX-WS API in Document style
Building a RESTful web service using the JAX-RS API (using the Jersey implementation)
Enterprise integration patterns
Summary
HPC Cluster Computing
Era of computing
Commanding parallel system architectures
MPP
SMP
CC-NUMA
Distributed systems
Clusters
Network of workstations
Cluster computer architecture
Cluster system software and tools
HPCC
Java support for high-performance computing
Java support for parallel programming models
Multithreading
Parallelism
Synchronization
JOMP
Java message passing
The Spliterator interface
Parallel stream processing
Java 9 updates for processing an API
Summary
Distributed Databases
Distributed and decentralized databases
Motivation for distributed databases
Distributed database environments
Homogeneous distributed database environment
Heterogeneous distributed database environment
Distributed database setup methodologies
Replication
Horizontal partitioning
Vertical partitioning
Hybrid setup
Distributed DBMS architecture
Java Database Connectivity
JTA for distributed transactions
Switching between the transaction modes
Sample program for the XA transaction
Summary
Cloud and Distributed Computing
What is cloud computing?
Cloud deployment models
Cloud computing patterns
Features of cloud computing
Cloud versus distributed computing
Cloud service providers
AWS
Amazon EC2
Amazon S3
Amazon SQS
Amazon CloudFront
Amazon SimpleDB
Writing a distributed application on AWS
Docker CaaS
CaaS
Characteristics of Docker CaaS
Docker CaaS platform components
Eclipse integration for a Docker container
Deploying a sample Java application to Tomcat with Docker
Java 9 support
Spring Boot
Spring Cloud
Spring Cloud Data Flow
Summary
Big Data Analytics
What is big data?
Big data characteristics
Volume
Variety
Velocity
Veracity
NoSQL databases
Hadoop, MapReduce, and HDFS
Hadoop
HDFS (Hadoop Distributed File System)
MapReduce
Cloud computing for Hadoop
Dynamic Distributed Dimensional Data Model (D4M)
Distributed computing for big data
ZooKeeper for distributed computing
Summary
Testing, Debugging, and Troubleshooting
Challenges in testing distributed applications
Standard testing approach in software systems
Unit testing
Mocking the dependencies
Continuous Integration (CI)-based unit testing
System testing
System integration testing
User Acceptance Testing
Cloud distributed application testing
Latest tools for testing Java distributed applications
JUnit
JTest
TestNG
Arquillian
The Grinder
JWalk
Mockito
PowerMock
Debugging and troubleshooting distributed applications
Summary
Security
Security issues and concerns
Two-way Secure Sockets Layer (SSL) implementation
Two-way SSL implementation for web services
Allow the secured calls in server application
Generate a client program as a web service client with a two-way SSL
Cloud computing security
Security enhancements in Java 9
Datagram Transport Layer Security
TLS Application Layer Protocol Negotiation Extension
OCSP stapling for TLS
Summary

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Distributed Computing in Java 9