Publication

Replication et Durabilité dans les systèmes répartis

2001
Reports

Abstract

Distributed dats bases and data replication are recognised today as an efficient way to increase availability and fiability in data bases. The problem of mutual co-herence of copies is however introduced. Updating data is to be done on all copies. The notion of durability is capital in database. It assume that when a database crash, comited transactions are load on a stable database memory. Durability is a technique of fault tolerance. Another technique of fault tolerance is replication, multiple copies assume that when one of them crash, the rest of copies continue to operate. This two tech-niques has their disavantages in terms of complexity and performance. This semester work, look how durability and replication work together. The performance criteria of the simulation are expressed in terms of the generated traffic, response time and duration of unavailability of copies.

Official source

https://infoscience.epfl.ch/entities/publication/7efe1e2d-dc6c-4a9c-af31-364a2a71c6ba

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2001
Reports

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/7efe1e2d-dc6c-4a9c-af31-364a2a71c6ba

About this result

Related concepts (29)

Replication (computing)

Replication in computing involves sharing information so as to ensure consistency between redundant resources, such as software or hardware components, to improve reliability, fault-tolerance, or accessibility. Replication in computing can refer to: Data replication, where the same data is stored on multiple storage devices Computation replication, where the same computing task is executed many times.

Database

In computing, a database is an organized collection of data (also known as a data store) stored and accessed electronically through the use of a database management system. Small databases can be stored on a , while large databases are hosted on computer clusters or cloud storage. The design of databases spans formal techniques and practical considerations, including data modeling, efficient data representation and storage, query languages, security and privacy of sensitive data, and distributed computing issues, including supporting concurrent access and fault tolerance.

Optimistic replication

Optimistic replication, also known as lazy replication, is a strategy for replication, in which replicas are allowed to diverge. Traditional pessimistic replication systems try to guarantee from the beginning that all of the replicas are identical to each other, as if there was only a single copy of the data all along. Optimistic replication does away with this in favor of eventual consistency, meaning that replicas are guaranteed to converge only when the system has been quiesced for a period of time.

Related publications (3)

Replication et Durabilité dans les systèmes répartis

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Semi-Passive Replication

Problem-solving environment for parallel computers

Concepts et mécanismes pour la mise en oeuvre d'un environnement d'édition coopérative sur un réseau à grande échelle