Subnet Management - gmq5v (Application)

Proposal 134547

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 477.324 km 7545.121 km 16759.085 km
PROPOSED 476.502 km (-0.2%) 7576.275 km (+0.4%) 16759.085 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 4 13 13 13 13 13
PROPOSED 4 13 13 13 13 13

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 5 1 1 1 1 1
PROPOSED 5 1 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 mtca7 UP :bar_chart: Americas Canada Toronto (to1) Cyxtera Blockchain Development Labs 6oxlv
Remove 6rib4 UP :bar_chart: Asia Singapore Singapore 3 (sg3) Racks Central OneSixtyTwo Digital Capital 5mhxl
Add dpxqr UNASSIGNED :bar_chart: Americas Canada Toronto 2 (to2) Cyxtera Blockchain Development Labs 4lp6i
Add f63hs UNASSIGNED :bar_chart: Asia Singapore Singapore (sg1) Telin OneSixtyTwo Digital Capital d4bin
Other Nodes
Node Status Continent Country Data Center Owner Node Provider Node Operator
jbgo7 UP :bar_chart: Oceania Australia Melbourne 2 (mn2) NEXTDC Icaria Systems Pty Ltd l5lhp
tlrvk UP :bar_chart: Europe Belgium Brussels (br1) Digital Realty Allusion mjeqs
45huy UP :bar_chart: Europe Switzerland Zurich 2 (zh2) Everyware DFINITY Stiftung y4c7z
ctgsx UP :bar_chart: Asia China HongKong 1 (hk1) Unicom Pindar Technology Limited vzsx4
s2p3k UP :bar_chart: Asia Georgia Tbilisi 1 (tb1) Cloud9 George Bassadone yhfy4
saw4q UP :bar_chart: Asia Japan Tokyo 3 (ty3) Equinix Starbase a5glg
sjtwn UP :bar_chart: Asia Korea (the Republic of) Seoul 1 (sl1) Megazone Cloud Neptune Partners ukji3
cvx4p UP :bar_chart: Europe Lithuania Vilnius 1 (bt1) Baltneta MB Patrankos šūvis mbnsu
vsuqg UP :bar_chart: Europe Romania Bucharest (bu1) M247 Iancu Aurel c5ssg
a3biv UP :bar_chart: Europe Slovenia Ljubljana (lj1) Posita.si Fractal Labs AG gl27f
3md72 UP :bar_chart: Americas United States of America (the) Allentown (aw1) Tierpoint Bigger Capital codio

*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.