Faults, scaling and Erlang concurrency
This talk shows the intimate relationship between faults and scaling.
We argue that systems that are designed for fault-tolerance will be easy to scale. Achieving fault-tolerance requires things like non-shared memory, which as a side effect makes them easy to scale.
We discuss the history of fault-tolerant systems and define six underlying principle that any system must have in order to achieve a reasonable measure of fault tolerance.
We show how these six principles are implemented in Erlang.
Speaker: Joe Armstrong, Ericsson
Wednesday, 09/24/14
Contact:
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Gates Computer Science Building
Stanford University
NEC Auditorium (B3)
Stanford, CA 94305
NEC Auditorium (B3)
Stanford, CA 94305
Website: Click to Visit
