Distributed programming

Distributed programming is a programming paradigm focusing on designing distributed, open, scalable, transparent, fault tolerant systems. This paradigm is a natural result of the use of computers to form networks.

Nearly any programming language that has access to the full hardware of the system could handle distributed programming given enough time and code.

Distributed programming typically falls into one of several basic architectures or categories: Client-server, 3-tier architecture, N-tier architecture, Distributed objects, Loosely coupled, or Tightly coupled.

Languages specifically tailored for distributed programming are:

• Oz programming language
• Ada programming language

External links

• MOGUL DP
• Concurrent and Distributed Programming

ADA Developing:

• GNAT
• AdaHome
• AdaPower

Peoples:

• M. Ben-Ari
• Edsger Wybe Dijkstra
• Per Brinch Hansen

Refactor INTO text above

• Remote procedure call -- This distribution system maps function calls to the network.
• Distributed objects -- Systems like CORBA, Microsoft D/COM, Java RMI and others, try to map object oriented design to the network
• Loosely coupled -- Loosely coupled systems are ones that communicate through intermediate documents that are typically human readable. Examples include XML, HTML, SGML, X.500, and EDI.