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Distributed concurrency control is the concurrency control of a system distributed over a computer network (Bernstein et al. 1987, Weikum and Vossen 2001). In database systems and transaction processing ( transaction management ) distributed concurrency control refers primarily to the concurrency control of a distributed database .
It is a distributed algorithm that coordinates all the processes that participate in a distributed atomic transaction on whether to commit or abort (roll back) the transaction. This protocol (a specialised type of consensus protocol) achieves its goal even in many cases of temporary system failure (involving either process, network node ...
Concurrency control in Database management systems (DBMS; e.g., Bernstein et al. 1987, Weikum and Vossen 2001), other transactional objects, and related distributed applications (e.g., Grid computing and Cloud computing) ensures that database transactions are performed concurrently without violating the data integrity of the respective ...
In databases and transaction processing, two-phase locking (2PL) is a pessimistic concurrency control method that guarantees conflict-serializability. [1] [2] It is also the name of the resulting set of database transaction schedules (histories).
In practice most commercial database systems use strong strict two-phase locking (SS2PL) for concurrency control, which ensures global serializability, if all the participating databases employ it. A common algorithm for ensuring correct completion of a distributed transaction is the two-phase commit (2PC).
Atomic commitment is a minimal requirement for a distributed transaction since it is always needed, which is implied by the transaction definition. defines database autonomy and independence as complying with this requirement without using any additional local knowledge: Definition: (concurrency control based) autonomous database system
In computer science, software transactional memory (STM) is a concurrency control mechanism analogous to database transactions for controlling access to shared memory in concurrent computing. It is an alternative to lock-based synchronization .
(Other concurrency systems, e.g., process calculi can be modeled in the actor model using a two-phase commit protocol. [13]) The mathematical denotation denoted by a closed system S is constructed increasingly better approximations from an initial behavior called ⊥ S using a behavior approximating function progression S to construct a ...