Consensus Protocols: Paxos | Paper Trail
You can’t really read two articles about distributed systems today without someone mentioning the Paxos algorithm. Google use it in Chubby, Yahoo used something a bit like it (but not the same!) in ZooKeeper and it seems that it’s considered the ne plus ultra of consensus algorithms. It also comes with a reputation as being fantastically difficult to understand - a subtle, complex algorithm that i
Consensus Protocols: Three-phase Commit | Paper Trail
Last time we looked extensively at two-phase commit, a consensus algorithm that has the benefit of low latency but which is offset by fragility in the face of participant machine crashes. In this short note, I’m going to explain how the addition of an extra phase to the protocol can shore things up a bit, at the cost of a greater latency. The fundamental difficulty with 2PC is that, once the decis
Consensus Protocols: Two-Phase Commit | Paper Trail
For the next few articles here, I’m going to write about one of the most fundamental concepts in distributed computing - of equal importance to the theory and practice communities. The consensus problem is the problem of getting a set of nodes in a distributed system to agree on something - it might be a value, a course of action or a decision. Achieving consensus allows a distributed system to ac
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