3 papers
cs.DC2022
QUANTAS: Quantitative User-friendly Adaptable Networked Things Abstract Simulator
Joseph Oglio, Kendric Hood, Mikhail Nesterenko +1
We present QUANTAS: a simulator that enables quantitative performance analysis of distributed algorithms. It has a number of attractive features. QUANTAS is an abstract simulator,…
cs.DC2020
Partitionable Asynchronous Cryptocurrency Blockchain
Kendric Hood, Joseph Oglio, Mikhail Nesterenko +1
We consider operation of blockchain-based cryptocurrency in case of partitioning. We define the Partitionable Blockchain Consensus Problem. The problem may have an interesting solu…
cs.DC2020
Byzantine Geoconsensus
Joseph Oglio, Kendric Hood, Gokarna Sharma +1
We define and investigate the consensus problem for a set of processes embedded on the -dimensional plane, , which we call the {\em geoconsensus} problem. The proce…