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 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 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 ...