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A distributed algorithm is an algorithm designed to run on computer hardware constructed from interconnected processors. Distributed algorithms are used in different application areas of distributed computing , such as telecommunications , scientific computing , distributed information processing , and real-time process control .
In computer science, distributed shared memory (DSM) is a form of memory architecture where physically separated memories can be addressed as a single shared address space. The term "shared" does not mean that there is a single centralized memory, but that the address space is shared—i.e., the same physical address on two processors refers to ...
The RM-ODP view model, which provides five generic and complementary viewpoints on the system and its environment.. Reference Model of Open Distributed Processing (RM-ODP) is a reference model in computer science, which provides a co-ordinating framework for the standardization of open distributed processing (ODP).
Stream processing is especially suitable for applications that exhibit three application characteristics: [citation needed] Compute intensity, the number of arithmetic operations per I/O or global memory reference. In many signal processing applications today it is well over 50:1 and increasing with algorithmic complexity.
CADP [1] (Construction and Analysis of Distributed Processes) is a toolbox for the design of communication protocols and distributed systems. CADP is developed by the CONVECS team (formerly by the VASY team) at INRIA Rhone-Alpes and connected to various complementary tools.
A computer program that runs within a distributed system is called a distributed program, [7] and distributed programming is the process of writing such programs. [8] There are many different types of implementations for the message passing mechanism, including pure HTTP, RPC-like connectors and message queues .
In computer science, distributed memory refers to a multiprocessor computer system in which each processor has its own private memory. [1] Computational tasks can only operate on local data, and if remote data are required, the computational task must communicate with one or more remote processors.
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 for a distributed, shared memory (space based)