At the core of these systems lie distributed algorithms, which not only coordinate resource management and data replication but also enable consensus, fault tolerance and dynamic scalability.

Crash-recovery: When a process fails it can recover, usually by making use of sort of recovery algorithm. This may involve reading from a database or communicating with other processes.

In this video from the PASC16 conference, Andrew Lumsdaine from Indiana University presents: Context Matters: Distributed Graph Algorithms and Runtime Systems. "The increasing complexity of the ...

In a milestone that brings quantum computing tangibly closer to large-scale practical use, scientists at Oxford University Physics have demonstrated the first instance of distributed quantum ...

Journal of Applied Probability, Vol. 58, No. 2 (JUNE 2021), pp. 394-410 (17 pages) We analyze average-based distributed algorithms relying on simple and pairwise random interactions among a large and ...

In a milestone that brings quantum computing tangibly closer to large-scale practical use, scientists at Oxford University Physics have demonstrated the first instance of distributed quantum ...