Search results
Results from the WOW.Com Content Network
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 ...
A wait-for graph in computer science is a directed graph used for deadlock detection in operating systems and relational database systems.. In computer science, a system that allows concurrent operation of multiple processes and locking of resources and which does not provide mechanisms to avoid or prevent deadlock must support a mechanism to detect deadlocks and an algorithm for recovering ...
When handling contention, the main goal is the same as with any other concurrent data structure, namely ensuring correctness for every operation on the table. At the same time, it should naturally be done in such a way as to be more efficient than a sequential solution when used concurrently. This is also known as concurrency control.
Message-passing concurrency tends to be far easier to reason about than shared-memory concurrency, and is typically considered a more robust form of concurrent programming. [ citation needed ] A wide variety of mathematical theories to understand and analyze message-passing systems are available, including the actor model , and various process ...
The most basic data structures of the implementation are given in either kjbuckets0.py or the faster kjbucketsmodule.c, which implement the same data type signatures in Python and in a C extension to Python respectively. The database.py module is a simple wrapper that provides a standard DBAPI interface to the system.
In computer science, the readers–writers problems are examples of a common computing problem in concurrency. [1] There are at least three variations of the problems, which deal with situations in which many concurrent threads of execution try to access the same shared resource at one time.
In computer science, Algorithms for Recovery and Isolation Exploiting Semantics, or ARIES, is a recovery algorithm designed to work with a no-force, steal database approach; it is used by IBM Db2, Microsoft SQL Server and many other database systems. [1] IBM Fellow Chandrasekaran Mohan is the primary inventor of the ARIES family of algorithms. [2]
The shared resource is a data object, which two or more concurrent threads are trying to modify (where two concurrent read operations are permitted but, no two concurrent write operations or one read and one write are permitted, since it leads to data inconsistency). Mutual exclusion algorithms ensure that if a process is already performing ...