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 the paper, Jayanti considers a host of algorithms that have been proven to be correct on classical distributed systems and transports them to scenarios where observers watch them execute from ...

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 ...