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What and Who

Byzantine fault tolerance for cluster services

Allen Clement
University of Texas
SWS Colloquium


Allen Clement is a PhD candidate at the University of Texas at Austin.
His research interests include distributed systems, fault tolerance,
computer networks, and operating systems.  He received an A.B. degree in
Computer Science from Princeton University in 2000, and expects to
complete the Ph.D. degree in Computer Science form the University of
Texas at Austin shortly.
SWS, RG1  
Expert Audience
English

Date, Time and Location

Wednesday, 10 March 2010
16:00
60 Minutes
E1 5
5th floor
Saarbrücken

Abstract


Experiences with computers and computer systems indicate an inconvenient
truth:  computers fail, and they fail for a wide range of reasons
including power outage, disc and memory corruption, misconfiguration,
NIC malfunction, user error, and many others.  The impact of computer
failures can be dramatic, ranging from unavailability of email to
canceled flights and stranded airline passengers to closed companies.

Byzantine fault tolerant (BFT) state machine replication is posited as
an approach for masking individual computer faults and deploying robust
services that continue to function despite failures.  However, the lack
of deployed systems that utilize BFT techniques is indicates that the
current state of the art falls short of the needs of practical
deployments.  In this talk I will discuss our efforts to make BFT a
practical and attractive option for practitioners.  These efforts are
centered around developing BFT techniques that (a) are fast and
efficient, (b) tolerate Byzantine faults, and (c) can be easily
incorporated into legacy applications.

This work is in collaboration with Amit Aiyer, Lorenzo Alvisi, Mike
Dahlin, Manos Kapritsos, Yang Wang, and Edmund Wong (UT-Austin), Rama
Kotla (currently MSR-SVC), and Mirco Marchetti (currently University of
Modena and Reggio Emilia).

Contact

Brigitta Hansen
0681 - 9325691
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Video Broadcast

Yes
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Brigitta Hansen, 03/11/2010 14:02 -- Created document.