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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 ...
Deadlock prevention algorithms; Decentralized application; Decentralized autonomous organization; Decomposable aggregation function; Distributed algorithmic mechanism design; Distributed cache; Distributed Computing (journal) Distributed Computing Environment; Distributed Data Management Architecture; Distributed ledger; Double-spending
Distributed algorithm From the plural form : This is a redirect from a plural noun to its singular form. This redirect link is used for convenience; it is often preferable to add the plural directly after the link (for example, [[link]]s ).
Distributed Artificial Intelligence (DAI) is an approach to solving complex learning, planning, and decision-making problems.It is embarrassingly parallel, thus able to exploit large scale computation and spatial distribution of computing resources.
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.
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