consensusbg
Yes
Decision
No

Dijets Consensus & Determinants

Consensus in Dijets is achieved through its refined approach to metastability & modular 'Determinants'.It combines adaptive sampling, robust sub-sampling, & enhanced validation mechanisms for its superior reliability, scalability, and effectiveness.


Consensus Simulator

Simulate & visualise the building blocks to Dijets consensus mechanism. For demonstrative purposes the visualiser simulates the Base Determinant - Quark using a decision between two conflicting states.

Total number of nodes simulating Quark - the base determinant.

A constantly sized, random sample of the network.

Quorum threshold for the sampled nodes in the network.

Number of nodes processed along points on x & y axes.

Protocol parameter for sampling calibration.

Click RUN to observe nodes in a network reaching a single-decree probabilistic consensus. Expectedly, all nodes will collapse to the same state & reach an agreement on a decision using metastability for its strong safety guarantee.

Hit RESET to repeat the process.

What is a 'Determinant'?

Consensus in Dijets is built on three base algorithms and procedural rulesets, collectively referred to as "Determinants". By modularising the consensus process, each Determinant namely: Quark, Meson & Boson can be finely tuned through governace to optimise specific aspects of network performance & protocol parameters.

Algorithm 1 Quark - Base Determinant

1:procedure onQuery() // pThearameters

2:

3:

4:respond(𝑣, decision)

5:procedure quarkLoop(

6:

7:

8:.......

id

determinant

ver

D00-QK

QUARKv0.1.1

D00-MS

MESONv1.1.6

D00-BN

BOSONv1.0.4

D00-##

[TBD]

D00-##

[TBD]

Disrupt, or be Disrupted.