Publication

Semi-passive replication and Lazy Consensus

André Schiper
2004
Journal Articles

Abstract

This paper presents two main contributions: semi-passive replication and Lazy Consensus. The former is a replication technique with parsimonious processing. It is based on the latter; a variant of Consensus allowing the lazy evaluation of proposed values. Semi-passive replication is a replication technique with parsimonious processing. This means that, in the normal case, each request is processed by only one single process. The most significant aspect of semi-passive replication is that it requires a weaker system model than existing techniques of the same family. For semi-passive replication, we give an algorithm based on the Lazy Consensus. Lazy Consensus is a variant of the Consensus problem that allows the lazy evaluation of proposed values, hence the name. The main difference with Consensus is the introduction of an additional property of laziness. This property requires that proposed values are computed only when they are actually needed. We present an algorithm based on Chandra and Toueg's Consensus algorithm for asynchronous distributed systems with a diamond, S failure detector.

Official source

https://infoscience.epfl.ch/entities/publication/7a3c5b36-4ea8-4d13-8250-50f13a2c9068

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André Schiper
2004
Journal Articles

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/7a3c5b36-4ea8-4d13-8250-50f13a2c9068

About this result

Related concepts (32)

Consensus (computer science)

A fundamental problem in distributed computing and multi-agent systems is to achieve overall system reliability in the presence of a number of faulty processes. This often requires coordinating processes to reach consensus, or agree on some data value that is needed during computation. Example applications of consensus include agreeing on what transactions to commit to a database in which order, state machine replication, and atomic broadcasts.

Property

Property is a system of rights that gives people legal control of valuable things, and also refers to the valuable things themselves. Depending on the nature of the property, an owner of property may have the right to consume, alter, share, redefine, rent, mortgage, pawn, sell, exchange, transfer, give away, or destroy it, or to exclude others from doing these things, as well as to perhaps abandon it; whereas regardless of the nature of the property, the owner thereof has the right to properly use it under the granted property rights.

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.

Related publications (11)

Semi-passive replication and Lazy Consensus

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Verifying Resource Bounds of Programs with Lazy Evaluation and Memoization

Abortable Linearizable Modules

Distributed Consensus, Revisited