DPDNS 2016 Keynote

Shlomi Dolev

doi:10.1109/IPDPSW.2016.243

DPDNS 2016 Keynote

Shlomi Dolev

Department of Computer Science

Ben-Gurion University of the Negev

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Summary form only given. Crash resilient replicated state machines are used daily in data centers of all leading data and computing enterprises. The replicated state machine form a robust entity that withstands crashes for some of the member participants in implementing the replicated state machine. Thus, yielding a robust and reliable service and management for the data and computing centers. This is an excellent example for using theoretical proven distributed fault tolerant algorithms in practice. New algorithms that yield more robust designs will be presented. Including self-stabilizing replicated state machine that withstands Byzantine behavior of the participants, and designs that prevent information leakage.

Original language	American English
Title of host publication	2016 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPS Workshops 2016, Chicago, IL, USA, May 23-27, 2016
Pages	1270
Number of pages	1
DOIs	https://doi.org/10.1109/IPDPSW.2016.243
State	Published - 2016

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title = "DPDNS 2016 Keynote",

abstract = "Summary form only given. Crash resilient replicated state machines are used daily in data centers of all leading data and computing enterprises. The replicated state machine form a robust entity that withstands crashes for some of the member participants in implementing the replicated state machine. Thus, yielding a robust and reliable service and management for the data and computing centers. This is an excellent example for using theoretical proven distributed fault tolerant algorithms in practice. New algorithms that yield more robust designs will be presented. Including self-stabilizing replicated state machine that withstands Byzantine behavior of the participants, and designs that prevent information leakage.",

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AB - Summary form only given. Crash resilient replicated state machines are used daily in data centers of all leading data and computing enterprises. The replicated state machine form a robust entity that withstands crashes for some of the member participants in implementing the replicated state machine. Thus, yielding a robust and reliable service and management for the data and computing centers. This is an excellent example for using theoretical proven distributed fault tolerant algorithms in practice. New algorithms that yield more robust designs will be presented. Including self-stabilizing replicated state machine that withstands Byzantine behavior of the participants, and designs that prevent information leakage.

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DO - 10.1109/IPDPSW.2016.243

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BT - 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPS Workshops 2016, Chicago, IL, USA, May 23-27, 2016

ER -

DPDNS 2016 Keynote

Abstract

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