enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. Raft (algorithm) - Wikipedia

    en.wikipedia.org/wiki/Raft_(algorithm)

    Raft uses a randomized election timeout to ensure that split vote problems are resolved quickly. This should reduce the chance of a split vote because servers won't become candidates at the same time: a single server will time out, win the election, then become leader and send heartbeat messages to other servers before any of the followers can ...

  3. Karp's 21 NP-complete problems - Wikipedia

    en.wikipedia.org/wiki/Karp's_21_NP-complete_problems

    In computational complexity theory, Karp's 21 NP-complete problems are a set of computational problems which are NP-complete.In his 1972 paper, "Reducibility Among Combinatorial Problems", [1] Richard Karp used Stephen Cook's 1971 theorem that the boolean satisfiability problem is NP-complete [2] (also called the Cook-Levin theorem) to show that there is a polynomial time many-one reduction ...

  4. Apache Kafka - Wikipedia

    en.wikipedia.org/wiki/Apache_Kafka

    Apache Kafka is a distributed event store and stream-processing platform. It is an open-source system developed by the Apache Software Foundation written in Java and Scala.The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds.

  5. Rendezvous hashing - Wikipedia

    en.wikipedia.org/wiki/Rendezvous_hashing

    Clients C 1 and C 4 independently pick the same random subset of four sites {S 2, S 5, S 6, S 10} from among the twelve options S 1, S 2, ..., S 12, for placing replicas or shares of object O. Rendezvous or highest random weight (HRW) hashing [ 1 ] [ 2 ] is an algorithm that allows clients to achieve distributed agreement on a set of k ...

  6. NP-completeness - Wikipedia

    en.wikipedia.org/wiki/NP-completeness

    "NP-complete problems are the most difficult known problems." Since NP-complete problems are in NP, their running time is at most exponential. However, some problems have been proven to require more time, for example Presburger arithmetic. Of some problems, it has even been proven that they can never be solved at all, for example the halting ...

  7. Replication (computing) - Wikipedia

    en.wikipedia.org/wiki/Replication_(computing)

    Most synchronous (or eager) replication solutions perform conflict prevention, while asynchronous (or lazy) solutions have to perform conflict resolution. For instance, if the same record is changed on two nodes simultaneously, an eager replication system would detect the conflict before confirming the commit and abort one of the transactions.

  8. Paxos (computer science) - Wikipedia

    en.wikipedia.org/wiki/Paxos_(computer_science)

    This problem becomes difficult when the participants or their communications may experience failures. [1] Consensus protocols are the basis for the state machine replication approach to distributed computing, as suggested by Leslie Lamport [2] and surveyed by Fred Schneider. [3]

  9. Two-phase commit protocol - Wikipedia

    en.wikipedia.org/wiki/Two-phase_commit_protocol

    The commit-request phase (or voting phase), in which a coordinator process attempts to prepare all the transaction's participating processes (named participants, cohorts, or workers) to take the necessary steps for either committing or aborting the transaction and to vote, either "Yes": commit (if the transaction participant's local portion ...