There Is Enough Of Room At The Bottom

This is a pun on the maxim "there is e'er room at the top". This is also the championship of a PigPaxos is able to accomplish 3.5 folds improvement inwards Paxos throughput.

What is fast nether depression contestation environments could last sluggish nether increased contention. EPaxos uses dependency tracking to accomplish to a greater extent than concurrency as well as throughput, but when contestation increases the benefits disappear quickly.

What seems to last an operational/deployment job tin hand the axe require a novel consensus read algorithm to last developed. PQR algorithm enables clients to exercise linearizable reads only using the followers, as well as relieves the leader off the project of serving reads, which allows it to last able to serve to a greater extent than writes. 

What seems to last a crazy relaxation of guaranteed commits tin hand the axe opened upward a novel champaign of consensus algorithms. I am talking well-nigh Nakamoto consensus which amalgamated known techniques to rewrite the mass on consensus. It used proof of move to accomplish leader election without needing communication, as well as used hash-chain based multi-synod log to accomplish eventual implicit commit finalization.


The lesson is clear. Be mindful of what is swept nether the rug! What is non a draw of piece of work organization at high score tin hand the axe last a characteristic that makes or breaks the implementation. It is possible to mean value of other dimensions/concerns, fifty-fifty though I may non last able to agree them to Paxos variants. Ok hither goes nothing.

TAPIR did consider consensus together amongst storage for transactions, as well as this paper amid others considered unifying consensus protocols amongst commits.)

How would disaster tolerance work? Flexible as well as graceful fault-tolerance is ameliorate than being robust to a indicate as well as and then existence a brittle mess later that without notice.

How would debuggability/observability move for consensus?

Can nosotros convey a fully verified (via automated reasoning) implementation of consensus for a deployment system?


Cloud computational model changes everything

Delos as well as followup move is an trial of this.

Containers as well as abundant resources inwards the cloud move inwards possible to migrate computation for pro-actively controlling as well as strengthening availability. Recently, the Physalia paper investigated how infrastructure aware placement tin hand the axe significantly trim down the consequence of network partitions, infrastructure failures, as well as fifty-fifty software bugs. 

We are only getting starting inwards this draw of work. We are 2 decades inwards to the cloud era, but distributed algorithms are yet designed as well as evaluated amongst the unmarried dedicated box model from the 1970s. This is an anomaly, as well as this is cue there volition last a revolutionary scientific discipline stream where a novel epitome volition emerge.


Are you lot maxim nosotros should non occupation abstractions as well as avoid abstract thinking?

No, I am non maxim that. I am only saying: don't abstract away the features that are of import to the implementation. Have i pes inwards the implementation plane. Use tools that forces you lot to bargain amongst the implementation/deployment relevant concerns.

"The occupation of abstraction is non to last vague, but to create a novel semantic score inwards which i tin hand the axe last absolutely precise." --Dijkstra

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