Subnet Management - bkfrj (European)

Proposal 134542

TLDR: To be continued…

Decentralisation Stats

Subnet node distance stats (distance between any 2 nodes in the subnet) →

Smallest Distance Average Distance Largest Distance
EXISTING 27.369 km 1318.881 km 3485.353 km
PROPOSED 95.554 km (+249.1%) 1390.099 km (+5.4%) 3485.353 km

This proposal slightly increases decentralisation, considered purely in terms of geographic distance (and therefore there’s a slight theoretical increase in localised disaster resilience). :+1:

Subnet characteristic counts →

Continents Countries Data Centers Owners Node Providers Node Operator
EXISTING 1 11 13 13 13 13
PROPOSED 1 12 (+8.3%) 13 13 13 13

This proposal slightly improves decentralisation in terms of jurisdiction diversity. :+1:

Largest number of nodes with the same characteristic (e.g. continent, country, data center, etc.) →

Continent Country Data Center Owner Node Provider Node Operator
EXISTING 13 3 1 1 1 1
PROPOSED 13 2 (-33.33%) 1 1 1 1

See here for acceptable limits → Motion 132136

The above subnet information is illustrated below, followed by a node reference table:

Map Description
  • Red marker represents a removed node (transparent center for overlap visibility)
  • Green marker represents an added node
  • Blue marker represents an unchanged node
  • Highlighted patches represent the country the above nodes sit within (red if the country is removed, green if added, otherwise grey)
  • Light grey markers with yellow borders are examples of unassigned nodes that would be viable candidates for joining the subnet according to formal decentralisation coefficients (so this proposal can be viewed in the context of alternative solutions that are not being used)

Node Changes
Action Node Status Continent Country Data Center Owner Node Provider Node Operator
Remove lj6xb UP :bar_chart: Europe Switzerland Zurich 5 (zh5) Green.ch Zondax AG ap2qh
Add yf2ct UNASSIGNED :bar_chart: Europe Latvia Riga 1 (rg1) DEAC MB Patrankos šūvis jptla
Other Nodes
Node Status Continent Country Data Center Owner Node Provider Node Operator
3yok3 UP :bar_chart: Europe Austria South Moravian Region 1 (bn1) Master Internet Lukas Helebrandt zc635
xzpf4 UP :bar_chart: Europe Belgium Brussels 2 (br2) AtlasEdge Allusion oorkg
c2dnc UP :bar_chart: Europe Switzerland Geneva (ge1) HighDC Archery Blockchain SCSp yngfj
w3phu UP :bar_chart: Europe Switzerland Zurich 3 (zh3) Nine.Ch Tomahawk.vc anodw
dzol4 UP :bar_chart: Europe Germany Frankfurt 2 (fr2) Equinix Virtual Hive Ltd 3nu7r
pekym UP :bar_chart: Europe Spain Barcelona 1 (es1) Adam Carbon Twelve gyzti
35ddr UP :bar_chart: Europe Estonia Tallinn 2 (ta2) Telia DC Ivanov Oleksandr kcyob
ldqxr UP :bar_chart: Europe Lithuania Vilnius 2 (vl2) Data Inn George Bassadone inluf
7exbb UP :bar_chart: Europe Portugal Barreiro 1 (ba1) Online Bohatyrov Volodymyr 2ibzn
foa3b UP :bar_chart: Europe Romania Bucharest (bu1) M247 Iancu Aurel c5ssg
popmv UP :bar_chart: Europe Slovenia Ljubljana (lj1) Posita.si Fractal Labs AG gl27f
a3xcb UP :bar_chart: Europe Sweden Stockholm 1 (sh1) Digital Realty DFINITY Stiftung lgp6d

*This comment references the latest comment in the Subnet Management - General Discussion thread only to generate an automated cross-link from the general thread (to improve topic navigation).


You may wish to follow D-QUORUM if you found this analysis helpful.

Known Neurons to follow if you're too busy to keep on top of things like this

If you found this analysis helpful and would like to follow the vote of the LORIMER known neuron in the future, consider configuring LORIMER as a followee for the Subnet Management topic.

Additional good neurons to follow:

  • D-QUORUM (a highly decentralized neuron that follows neurons that have been elected by the NNS)
  • Synapse (currently follows the LORIMER and CodeGov known neurons for Subnet Management, and is a generally well informed known neuron to follow on numerous other topics)
  • CodeGov (actively reviews and votes on Subnet Management proposals, and is well informed on numerous other technical topics)
  • WaterNeuron (the WaterNeuron DAO frequently discuss proposals like this in order to vote responsibly based on DAO consensus)

Note that this analysis involved data provided by the IC-API, which is not open source. I’m in the process of switching over to more verifiable sources of this sort of information for future proposal reviews. See here for related discussion.