This book demonstrates the practical implementation of distributed systems by using the recent open source compilers and environments. Distributed systems are workstations that can communicate with each other and data processors, as well as different hierarchical architectural configurations of data processors that have differing data storage capabilities. A distributed system can be much larger and more powerful given the combined capabilities of the distributed components, than combinations of stand-alone systems. But it's not easy -for a distributed system to communicate in reliable way. This is a difficult goal to achieve because of the complexity of the interactions between simultaneously running components. Message Passing Interface (MPI) is a standardized and portable message-passing system developed for distributed and parallel computing. MPI gives user the flexibility of calling set of routines from C, C++, Fortran, C#, Java or Python. The advantages of MPI over older message passing libraries are portability and speed. Practical implementations are mostly in MPI but few practical are in C++, JAVA. It covers all details from implementations (coding) to the results (outputs) clearly. JAVA RMI, CORBA examples are also covered. Hadoop implementations and commands on HDFS are covered to learn distributed file system. Installation and implementations suggested in this can be on Windows or Linux Platform. Linux operating system is preferred. Part 1 covers basic theory of MPI, MPI features, MPI models, Data types supported and operations on data. Part 2 describe installation steps of MPI in Linux and Windows. Part 3 covers the description of MPI Commands which are used in further part of this book. Part 4 covers the practical implementation of client server communication, message passing, synchronous and asynchronous communication, remote method invocation, hadoop installation and HDFS, CORBA, mutual exclusion, logical clocks etc.

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