Publication

Optimistic Active Replication

André Schiper
2001
Conference Papers

Abstract

Replication is a powerful technique for increasing availability of a distributed service. Algorithms for replicating distributed services do however face a dilemma: they should be (1) efficient (low latency), while (2) ensuring consistency of the replicas, which are two contradictory goals. The paper concentrates on active replication, where all the replicas handle the clients' requests. Active replication is usually implemented using the Atomic Broadcast primitive. To be efficient, some Atomic Broadcast algorithms deliberately sacrifice consistency, if inconsistency is likely to occur with a low probability. We present in the paper an algorithm that handles replication efficiently in most scenarios, while preventing inconsistencies. The originality of the algorithm is to take the client-server interaction into account, while traditional solutions consider Atomic Broadcast as a black box.

Official source

https://infoscience.epfl.ch/entities/publication/cd91c9dc-1001-4f4c-9193-c3ad8e621690

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André Schiper
2001
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/cd91c9dc-1001-4f4c-9193-c3ad8e621690

About this result

Related concepts (32)

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.

Distributed computing

A distributed system is a system whose components are located on different networked computers, which communicate and coordinate their actions by passing messages to one another. Distributed computing is a field of computer science that studies distributed systems. The components of a distributed system interact with one another in order to achieve a common goal. Three significant challenges of distributed systems are: maintaining concurrency of components, overcoming the lack of a global clock, and managing the independent failure of components.

Distributed operating system

A distributed operating system is system software over a collection of independent software, networked, communicating, and physically separate computational nodes. They handle jobs which are serviced by multiple CPUs. Each individual node holds a specific software subset of the global aggregate operating system. Each subset is a composite of two distinct service provisioners. The first is a ubiquitous minimal kernel, or microkernel, that directly controls that node's hardware.