Publication

Democratizing Transactional Programming

Rachid Guerraoui, Vincent Gramoli
2011
Conference Papers

Abstract

The Transaction abstraction is arguably one of the most appealing middleware paradigms. It lies typically between the programmer of a concurrent or distributed application on the one hand, and the operating system with the underlying network on the other hand. It encapsulates the complex internals of failure recovery and concurrency control, significantly simplifying thereby the life of a non-expert programmer. Yet, some programmers are indeed experts and, for those, the transaction abstraction turns out to be inherently restrictive in its classical form. We argue for a genuine democratization of the abstraction, with different transactional semantics to be used by different programmers and composed within the same application

Official source

https://infoscience.epfl.ch/entities/publication/b5bc29e0-cf97-4a1c-9c18-4992dd8e445e

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Rachid Guerraoui, Vincent Gramoli
2011
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/b5bc29e0-cf97-4a1c-9c18-4992dd8e445e

About this result

Related concepts (20)

Concurrency control

In information technology and computer science, especially in the fields of computer programming, operating systems, multiprocessors, and databases, concurrency control ensures that correct results for concurrent operations are generated, while getting those results as quickly as possible. Computer systems, both software and hardware, consist of modules, or components. Each component is designed to operate correctly, i.e., to obey or to meet certain consistency rules.

Transactional memory

In computer science and engineering, transactional memory attempts to simplify concurrent programming by allowing a group of load and store instructions to execute in an atomic way. It is a concurrency control mechanism analogous to database transactions for controlling access to shared memory in concurrent computing. Transactional memory systems provide high-level abstraction as an alternative to low-level thread synchronization. This abstraction allows for coordination between concurrent reads and writes of shared data in parallel systems.

Concurrent computing

Concurrent computing is a form of computing in which several computations are executed concurrently—during overlapping time periods—instead of sequentially—with one completing before the next starts. This is a property of a system—whether a program, computer, or a network—where there is a separate execution point or "thread of control" for each process. A concurrent system is one where a computation can advance without waiting for all other computations to complete. Concurrent computing is a form of modular programming.

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