Publication

Comparing Distributed Consensus Algorithms

André Schiper
2004
Conference Papers

Abstract

Peter Urban and Andre Schiper Comparing Distributed Consensus Algorithms Protocols that solve agreement problems are essential building blocks for fault tolerant distributed systems. While many protocols have been published, little has been done to analyze their performance, especially the performance of their fault tolerance mechanisms. In this paper, we compare two consensus algorithms with different communication schemes: one is centralized and the other decentralized. The elements of the simulation study form a generic methodology for evaluating consensus algorithms. The results show that the centralized algorithm performs better in some environments, in spite of the fact that the decentralized algorithm finishes in fewer communication steps. The reason is that it generates less contention. Keywords: simulation tools and techniques, Java-based simulation, distributed consensus, benchmarks

Official source

https://infoscience.epfl.ch/entities/publication/4e9ca184-bcb0-42a9-9ce1-ef26959393c3

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André Schiper
2004
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/4e9ca184-bcb0-42a9-9ce1-ef26959393c3

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.

Distributed ledger

A distributed ledger (also called a shared ledger or distributed ledger technology or DLT) is the consensus of replicated, shared, and synchronized digital data that is geographically spread (distributed) across many sites, countries, or institutions. In contrast to a centralized database, a distributed ledger does not require a central administrator, and consequently does not have a single (central) point-of-failure.

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.

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