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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 .
Cannon's algorithm; Chandra–Toueg consensus algorithm; Chandy–Lamport algorithm; Chang and Roberts algorithm; Cole–Vishkin algorithm; Commitment ordering; Comparison of streaming media software; Conflict-free replicated data type; Content delivery network; Cristian's algorithm
Distributed computing is a field of computer science that studies distributed systems, defined as computer systems whose inter-communicating components are located on different networked computers. [1] [2] The components of a distributed system communicate and coordinate their actions by passing messages to one another in order to achieve a ...
The distinctive feature of DLT was the use of [a version of] Esperanto as an intermediate language (IL) and the idea that translation could be divided into two stages: from L1 into IL and then from IL into L2. The intermediate translation could be transmitted over a network to any number of workstations which would take care of the translation ...
An algorithm is fundamentally a set of rules or defined procedures that is typically designed and used to solve a specific problem or a broad set of problems.. Broadly, algorithms define process(es), sets of rules, or methodologies that are to be followed in calculations, data processing, data mining, pattern recognition, automated reasoning or other problem-solving operations.
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The distributed minimum spanning tree (MST) problem involves the construction of a minimum spanning tree by a distributed algorithm, in a network where nodes communicate by message passing. It is radically different from the classical sequential problem, although the most basic approach resembles Borůvka's algorithm .
Game theory and distributed computing both deal with a system with many agents, in which the agents may possibly pursue different goals. However they have different focuses. For instance one of the concerns of distributed computing is to prove the correctness of algorithms that tolerate faulty agents and agents performing actions concurrently.