ScholarLens Back to search
2006•Unpublished venueRequires access

End-to-end consensus using end-to-end channels

Matthias Wiesmann, Xavier Défago

Open publisher page 2 citations

Abstract

End-to-end consensus ensures delivery of the same value to the application layer running in distributed processes. Deliveries that have not been acknowledged by the application before a failure are delivered again. End-to-end primitives are important for applications that need to enforce persistency. We present an algorithm that solves the end-to-end consensus problem. Our approach is to build end-to-end consensus using a new type of communication channels, end-to-end channels

About this research paper

What this paper is about

End-to-end consensus ensures delivery of the same value to the application layer running in distributed processes. Deliveries that have not been acknowledged by the application before a failure are delivered again. End-to-end primitives are important for applications that need to enforce persistency. We present an algorithm that solves the end-to-end consensus problem. Our approach is to build end-to-end consensus using a new type of communication channels, end-to-end channels

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

End-to-end consensus ensures delivery of the same value to the application layer running in distributed processes. Deliveries that have not been acknowledged by the application before a failure are delivered again. End-to-end primitives are important for applications that need to enforce persistency. We present an algorithm that solves the end-to-end consensus problem. Our approach is to build end-to-end consensus using a new type of communication channels, end-to-end channels

Key concepts: End-to-end principle, Dead end, End user, Computer science, Computer network, End of history, Distributed computing, Mathematics

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
End-to-end consensus using end-to-end channels — Research Paper | ScholarLens