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Sergio Rajsbaum

Researcher at National Autonomous University of Mexico

Publications -  256
Citations -  4386

Sergio Rajsbaum is an academic researcher from National Autonomous University of Mexico. The author has contributed to research in topics: Distributed algorithm & Asynchronous communication. The author has an hindex of 34, co-authored 244 publications receiving 4092 citations. Previous affiliations of Sergio Rajsbaum include Massachusetts Institute of Technology & Technion – Israel Institute of Technology.

Papers
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Book

Distributed Computing Through Combinatorial Topology

TL;DR: This book describes techniques for analyzing distributed algorithms based on award winning combinatorial topology research, and presents unique insights applicable to multiple computing fields, including multicore microprocessors, wireless networks, distributed systems, and Internet protocols.
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The BG distributed simulation algorithm

TL;DR: A shared memory algorithm that allows a set of f+1 processes to wait-free “simulate” a larger system of n processes, that may also exhibit up to f stopping failures, satisfies the requirements of a fault-tolerant distributed simulation.
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A Layered Analysis of Consensus

TL;DR: A new notion of connectivity among states in runs of a consensus protocol, called potence connectivity, is introduced, which is more general than previous notions of connectivity used for this purpose and plays a key role in the uniform analysis of consensus.
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Conditions on input vectors for consensus solvability in asynchronous distributed systems

TL;DR: The condition-based approach to solve the consensus problem in asynchronous systems is introduced and two examples of realistic acceptable conditions are presented, and proved to be maximal, in the sense that they cannot be extended and remain acceptable.
Book ChapterDOI

On the Cost of Fault-Tolerant Consensus When There Are No Faults – A Tutorial

TL;DR: Algorithms and lower bounds are described that show that two communication steps are necessary and sufficient for solving consensus in realistic partial synchrony and timed asynchronous models where processes can crash.