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Distributed Computing in Java 9

Distributed Computing in Java 9

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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)
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2
Communication between Distributed Applications
3
RMI, CORBA, and JavaSpaces

Distributed DBMS architecture


As part of the distributed database setup, we need to configure a distributed database management system, which can synchronize the information retrieval and/or update each of the individual schemas. While each individual system can have its own database management system to control its respective database, having a distributed Database Management System (DBMS) takes care of the following purposes:

  • Monitoring the data setup in the distributed database, so that individual users and applications see the distributed database as one logical instance of database and schema
  • Govern the information by locating it during retrieval and updating requests from individual applications and users
  • Taking the requests for individual database nodes, and retrieving the information from other remote databases as well, if the requested information is not available in the local database
  • Ensuring that the distributed database access is following the roles of universal query optimization...

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