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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
The distributed algorithm is the combination of local (to each database) CO algorithm processes and an atomic commitment protocol (which can be fully distributed). Atomic commitment protocol is essential to enforce atomicity of each distributed transaction (to decide whether to commit or abort it; this procedure is always carried out for ...
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
In computer networking and distributed databases, the three-phase commit protocol (3PC) [1] is a distributed algorithm that ensures all nodes in a system agree to commit or abort a transaction. It improves upon the two-phase commit protocol (2PC) by eliminating the possibility of indefinite blocking caused by a specific type of failure during ...
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.
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.
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