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  2. Optimistic concurrency control - Wikipedia

    en.wikipedia.org/wiki/Optimistic_concurrency_control

    Optimistic concurrency control transactions involve these phases: [2] Begin: Record a timestamp marking the transaction's beginning. Modify: Read database values, and tentatively write changes. Validate: Check whether other transactions have modified data that this transaction has used (read or written). This includes transactions that ...

  3. Thread pool - Wikipedia

    en.wikipedia.org/wiki/Thread_pool

    In computer programming, a thread pool is a software design pattern for achieving concurrency of execution in a computer program. Often also called a replicated workers or worker-crew model , [ 1 ] a thread pool maintains multiple threads waiting for tasks to be allocated for concurrent execution by the supervising program.

  4. List of concurrent and parallel programming languages

    en.wikipedia.org/wiki/List_of_concurrent_and...

    Concurrent and parallel programming languages involve multiple timelines. Such languages provide synchronization constructs whose behavior is defined by a parallel execution model. A concurrent programming language is defined as one which uses the concept of simultaneously executing processes or threads of execution as a means of structuring a ...

  5. Commitment ordering - Wikipedia

    en.wikipedia.org/wiki/Commitment_ordering

    They also provide global serializability without local concurrency control information distribution, can be combined with any relevant concurrency control, and allow optimistic (non-blocking) implementations. Both use additional information for relaxing CO constraints and achieving better concurrency and performance.

  6. Speculative execution - Wikipedia

    en.wikipedia.org/wiki/Speculative_execution

    The objective is to provide more concurrency if extra resources are available. This approach is employed in a variety of areas, including branch prediction in pipelined processors, value prediction for exploiting value locality, prefetching memory and files, and optimistic concurrency control in database systems. [1] [2] [3]

  7. Concurrent computing - Wikipedia

    en.wikipedia.org/wiki/Concurrent_computing

    Today, the most commonly used programming languages that have specific constructs for concurrency are Java and C#. Both of these languages fundamentally use a shared-memory concurrency model, with locking provided by monitors (although message-passing models can and have been implemented on top of the underlying shared-memory model).

  8. Concurrency control - Wikipedia

    en.wikipedia.org/wiki/Concurrency_control

    This model provides a different concurrency control behavior with benefits in many cases. The most common mechanism type in database systems since their early days in the 1970s has been Strong strict Two-phase locking (SS2PL; also called Rigorous scheduling or Rigorous 2PL) which is a special case (variant) of Two-phase locking (2PL). It is ...

  9. Comparison of multi-paradigm programming languages - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_multi...

    A concise reference for the programming paradigms listed in this article. Concurrent programming – have language constructs for concurrency, these may involve multi-threading, support for distributed computing, message passing, shared resources (including shared memory), or futures