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Annu John

dblp:120/7302 · DBLP profile ↗
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3ranked-venue papers
3as first author
0since 2021 · last 2013
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 2 · 2 first-authorSystems, architecture and hardware · 1 · 1 first-authorTheory of computation · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Distributed systems · 100%
Theoretical computer science
1 paper
Automated reasoning and model checking · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Distributed systems › fault tolerance
byzantine fault tolerance
0.212013
Brief announcement: parameterized model checking of fault-tolerant distributed algorithms by abstraction · PODC 2013
Distributed systems
fault tolerance
0.212013
Brief announcement: parameterized model checking of fault-tolerant distributed algorithms by abstraction · PODC 2013
Automated reasoning and model checking › model checking › infinite-state model checking
parameterized model checking
0.012013
Brief announcement: parameterized model checking of fault-tolerant distributed algorithms by abstraction · PODC 2013

Methods — techniques the papers use, named apart from their topics

parametric interval abstraction · 0.3
YearPublicationVenuePosition
2013 Parameterized model checking of fault-tolerant distributed algorithms by abstraction
Annu John, Igor Konnov 0001, Ulrich Schmid 0001, Helmut Veith, Josef Widder
FMCAD1
2013 Brief announcement: parameterized model checking of fault-tolerant distributed algorithms by abstraction
abstract
We introduce an automated method for parameterized verification of fault-tolerant distribed algorithms. It rests on a novel parametric interval abstraction (PIA) technique, which works for systems with multiple parameters, for instance, where n and t are parameters describing the system size and the bound on the number of faulty processes, respectively. The PIA technique allows to map typical threshold-range intervals like [1,t+1) and [t+1,n-t) to values from a finite abstract domain. Applying PIA to both the local states of the processes and the global system state, the parameterized verification problem can be reduced to finite-state model checking. We demonstrate the practical feasibility of our method by verifying several variants of the well-known consistent broadcasting algorithm by Srikanth and Toueg for different fault models. To the best of our knowledge, this is the first successful automated parameterized verification of a Byzantine fault-tolerant distributed algorithm for message-passing systems.
Annu John, Igor Konnov 0001, Ulrich Schmid 0001, Helmut Veith, Josef Widder
PODC1
2013 Towards Modeling and Model Checking Fault-Tolerant Distributed Algorithms
Annu John, Igor Konnov 0001, Ulrich Schmid 0001, Helmut Veith, Josef Widder
SPIN1