Distributed algorithm - Wikipedia, the free encyclopedia



Distributed algorithm - Wikipedia, the free encyclopedia

Standard problems[edit]

Atomic commit
An atomic commit is an operation where a set of distinct changes is applied as a single operation. If the atomic commit succeeds, it means that all the changes have been applied. If there is a failure before the atomic commit can be completed, the "commit" is aborted and no changes will be applied.
Algorithms for solving the atomic commit protocol include the two-phase commit protocol and the three-phase commit protocol.
Consensus
Consensus algorithms try to solve the problem of a number of processes agreeing on a common decision.
More precisely, a Consensus protocol must satisfy the four formal properties below.
  • Termination: every correct process decides some value.
  • Validity: if all processes propose the same value v, then every correct process decides v.
  • Integrity: every correct process decides at most one value, and if it decides some value v, then v must have been proposed by some process.
  • Agreement: if a correct process decides v, then every correct process decides v.
A typical algorithm for solving consensus is the paxos algorithm.
Distributed search
Leader election
Leader election is the process of designating a single process as the organizer of some task distributed among several computers (nodes). Before the task is begun, all network nodes are unaware which node will serve as the "leader," or coordinator, of the task. After a leader election algorithm has been run, however, each node throughout the network recognizes a particular, unique node as the task leader.
Mutual exclusion
Non-blocking data structures
Reliable Broadcast
Reliable broadcast is a communication primitive in distributed systems. A reliable broadcast is defined by the following properties:
  • Validity - if a correct process sends a message, then some correct process will eventually deliver that message
  • Agreement - if a correct process delivers a message, then all correct processes eventually deliver that message
  • Integrity - every correct process delivers the same message at most once and only if that message has been sent by a process
A reliable broadcast can have sequential, causal or total ordering.
Replication
Resource allocation
Spanning tree generation
Symmetry breaking, e.g. vertex coloring

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