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For example, HP/Apollo contributed its Network Computing Environment (NCS) and CMA Threads products. Siemens Nixdorf contributed its X.500 server and ASN/1 compiler tools. At the time, network computing was quite popular, and many of the companies involved were working on similar RPC-based systems. By integrating security, RPC and other ...
Distributed computing is a field ... allowing for live environment relay. This enables distributed computing functions both within and beyond the parameters of a ...
In distributed computing, code mobility is the ability for running programs, code or objects to be migrated (or moved) from one machine or application to another. [1] This is the process of moving mobile code across the nodes of a network as opposed to distributed computation where the data is moved.
For example, the design of a multitier architecture is made simple using Java Servlets in the web server and various CORBA servers containing the business logic and wrapping the database accesses. This allows the implementations of the business logic to change, while the interface changes would need to be handled as in any other technology.
The Linda model provides a distributed shared memory, known as a tuple space because its basic addressable unit is a tuple, an ordered sequence of typed data objects; specifically in Linda, a tuple is a sequence of up to 16 typed fields enclosed in parentheses". The tuple space is "logically shared by processes" which are referred to as workers ...
Distributed objects are used in Java RMI. CORBA lets one build distributed mixed object systems. DCOM is a framework for distributed objects on the Microsoft platform. DDObjects is a framework for distributed objects using Borland Delphi. Jt is a framework for distributed components using a messaging paradigm. JavaSpaces is a Sun specification ...
A tuple space is an implementation of the associative memory paradigm for parallel/distributed computing. It provides a repository of tuples that can be accessed concurrently. As an illustrative example, consider that there are a group of processors that produce pieces of data and a group of processors that use the data.
Examples include EAI software, telecommunications software, transaction monitors, and messaging-and-queueing software. The distinction between operating system and middleware functionality is, to some extent, arbitrary.