Transforming worst-case optimal solutions for simultaneous tasks into all-case optimal solutions
DOI10.1145/1993806.1993849zbMath1321.68048OpenAlexW2090633038MaRDI QIDQ2943400
Mark R. Tuttle, Yoram Moses, Maurice P. Herlihy
Publication date: 11 September 2015
Published in: Proceedings of the 30th annual ACM SIGACT-SIGOPS symposium on Principles of distributed computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1145/1993806.1993849
topologycommon knowledgeconsensusrenamingsynchronous message passing modelcondition-based consensuscrash failure model
Graph theory (including graph drawing) in computer science (68R10) Distributed systems (68M14) Network protocols (68M12)
Related Items (3)
Cites Work
- Unnamed Item
- Gradient clock synchronization in dynamic networks
- Consensus algorithms with one-bit messages
- Knowledge and common knowledge in a Byzantine environment: Crash failures
- Broadcasting in dynamic radio networks
- Programming simultaneous actions using common knowledge
- Continuous consensus via common knowledge
- Distributed computation in dynamic networks
- Flooding time in edge-Markovian dynamic graphs
- Knowledge and common knowledge in a distributed environment
- How to Explore a Fast-Changing World (Cover Time of a Simple Random Walk on Evolving Graphs)
- Opportunistic Information Dissemination in Mobile Ad-hoc Networks: The Profit of Global Synchrony
- Fault Tolerance in Networks of Bounded Degree
- Reaching Agreement in the Presence of Faults
- Perfectly secure message transmission
- Parsimonious flooding in dynamic graphs
- Optimal gradient clock synchronization in dynamic networks
- Almost-Everywhere Secure Computation
This page was built for publication: Transforming worst-case optimal solutions for simultaneous tasks into all-case optimal solutions