Subnet Management - uzr34 (II)

Proposal 134042

TDLR: As a matter of principle, I try to maintain a policy of rejecting proposals that objectively misrepresent the technical behaviour of the proposal. If proposal summary accuracy is not a strict requirement, this leaves wiggle room to mislead (now, and in the future). I have therefore rejected this proposal.


… a node operator 7mdax currently does not have nodes in any subnet. To get insights into the stability of the nodes of this node operator, we propose to add one of the operator’s nodes to subnet uzr34

Claims made in the proposal summary :point_up: can be validated via the IC API. Reviewing the returned JSON shows that the node operator 7mdax operates a single node, which is indeed currently unassigned.

An UP node in South Africa is removed and replaced with this new Latvian 7mdax node. As can be seen in the map below, this reduces decentralisation in terms of geographic and continental clustering. However these metrics are not part of the formal IC Target Topology. Country diversity is a metric that is improved by this proposal, and this is indeed a metric that forms part of the IC Target Topology. The general claim made that decentralisation ‘get’s better’ is therefore fair.

However, at least one part of the proposal is inaccurate. →

the number of different NP actors increases from 30 to 31

As displayed in the subnet characteristic counts in the Decentralisation Stats below, the number of node providers and node operators is 31, and remains 31 after this proposal has executed.

I believe proposal summary accuracy is extremely important, along with consistent voting principals that are easy for followers to understand (leaving little room for undefined voting behaviour). I have therefore rejected this proposal. It’s not my intention to block the intentions of this proposal, and I’d be happy to accept a replacement proposal with a summary that is technically accurate. I also apologise if I’ve misunderstood any of these details.

Decentralisation Stats

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

Smallest Distance Average Distance Largest Distance
EXISTING 0 km 7898.216 km 19448.574 km
PROPOSED 0 km (NaN%) 7666.342 km (-2.9%) 19448.574 km

This proposal slightly reduces decentralisation, considered purely in terms of geographic distance (and therefore there’s a slight theoretical reduction in localised disaster resilience).

Subnet characteristic counts →

Continents Countries Data Centers Owners Node Providers Node Operator
EXISTING 5 24 31 31 31 31
PROPOSED 5 25 (+4%) 31 31 31 31

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 10 3 1 1 1 1
PROPOSED 11 (+10%) 3 1 1 1 1

Decentralisation in terms of distribution between continents is reduced (however this is not a formal part of the IC Target Topology).

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)

Table
Continent Country Data Center Owner Node Provider Node Operator Node Status Performance
--- Africa South Africa Gauteng 2 (jb2) Africa Data Centres Karel Frank bm2lc xav3a-kdo3a-2rgbg-o6vnk-clat5-bcc7w-vmnej-z55rx-mfx26-7xugo-tqe UP :bar_chart:
+++ Europe Latvia Riga 1 (rg1) DEAC Vladyslav Popov 7mdax poyg5-cbmcm-a372x-j72lt-zm4rz-4sf5v-ajtle-hyqkt-rdgaz-eqzmi-5qe UNASSIGNED :bar_chart:
Americas Argentina CABA 1 (ar1) SyT - Servicios y Telecomunicaciones S.A. Mariano Stoll 5p6xp v27at-hedf7-4a2my-tboq6-escdm-77krt-2qfuq-zjptf-z2sbk-vd7zs-xae UP :bar_chart:
Oceania Australia Queensland 1 (sc1) NEXTDC ANYPOINT PTY LTD srrm2 zjiki-pzvnv-m4rnn-fodt3-poon4-uldx7-d3wkq-gptsu-g2mjs-boi35-3qe UP :bar_chart:
Europe Belgium Antwerp (an1) Datacenter United Allusion pgunx xu2zg-nns7x-z67l6-foa5w-yc4ek-addku-g2hqg-c3jdg-wabdu-5ouaw-yae UP :bar_chart:
Americas Canada Fremont (fm1) Hurricane Electric Boolean Bit, LLC jjymt z4jw5-v4ee6-aa7gr-5axkc-4ocjy-v5vv5-inwc6-ma4hw-mb7jv-3skxy-eqe UP :bar_chart:
Americas Canada Toronto (to1) Cyxtera Blockchain Development Labs 6oxlv x3cey-uerdd-53a7n-d45e2-gjsnd-airg5-nrs5i-4xujk-c5ynl-4pie6-yqe UP :bar_chart:
Europe Switzerland Zurich 3 (zh3) Nine.Ch Tomahawk.vc anodw v2pkj-vpsow-fp24q-zqwfj-p3nek-m52xz-oz6ra-blmra-73voj-jvwb5-gae UP :bar_chart:
Asia China HongKong 1 (hk1) Unicom Pindar Technology Limited vzsx4 w4ri3-ytfnq-jg3z3-qseka-se4xe-b2fl2-km766-ruzwd-riw72-6bifs-4ae UP :bar_chart:
Americas Costa Rica Bogota 1 (bg1) EdgeUno Geeta Kalwani 74vhn aajth-ndp7x-ro5ok-yikyd-4i7xn-5k5ki-e3d37-hh4gn-s4opz-bnzxf-4qe UP :bar_chart:
Europe Czechia South Moravian Region 1 (bn1) Master Internet Maksym Ishchenko c3oqp zgtrt-4vlgr-pbytl-t2yqq-qf4nk-wyoos-vrfpu-hxqcw-tcnfu-73kjb-pae UP :bar_chart:
Europe Spain Madrid 1 (ma1) Ginernet Ivanov Oleksandr qyawb yi6r6-u4kax-jphcr-jcqr5-t3zpm-gmp3b-2hiew-iinpf-sgjos-eabha-aqe UP :bar_chart:
Europe Estonia Tallinn 2 (ta2) Telia DC Artem Horodyskyi rhtt6 zgeaf-fcq4e-fcnht-g7mpg-sb7ff-r6awk-zvkwp-gkloc-rr6jl-ghsse-mqe UP :bar_chart:
Europe France Paris 1 (pr1) Celeste Carbon Twelve g3nqx atjbz-kcjz7-y4mgn-t5wqp-3emfk-6mtlx-ln5i7-4pixf-ocjgh-hfu77-bqe UP :bar_chart:
Asia Georgia Tbilisi 1 (tb1) Cloud9 George Bassadone yhfy4 uouxk-c246i-dgxzd-ql3a5-koofn-mclrv-toplo-bg76d-l4dzk-ngb3c-nae UP :bar_chart:
Europe Croatia Zagreb 1 (zg1) Anonstake Anonstake 3sm7v q3vac-kcwo2-ruiht-nflb7-ifoev-vkjcw-quybi-ugvgn-pqfwp-jntxi-dqe UP :bar_chart:
Asia India Navi Mumbai 1 (nm1) Rivram Rivram Inc mpmyf ecxbl-3dp33-mpskv-yvs6f-674ct-tpr4d-dhzdg-jfgf4-gzhny-n6zzx-lqe UP :bar_chart:
Asia India New Delhi 1 (nd1) Marvelous Web3 DC Marvelous Web3 ri4lg 67t6p-i4h3c-msv6p-kmbmm-rr6gj-z3nix-d6lo2-mq3q4-3h6rb-lwkbc-lae UP :bar_chart:
Asia India Panvel 2 (pl2) Yotta Krishna Enterprises 7rw6b dyycg-wc45f-jwks2-abddo-m3n5r-o5kxy-g5xhm-7ve4u-3tlk7-i7xec-oae UP :bar_chart:
Asia Israel Tel Aviv 1 (tv1) Interhost GeoNodes LLC lis4o rfkza-27bii-6jan4-u4zll-lkvmz-snmao-irmlj-arpdd-kyxrg-xnq3a-7ae UP :bar_chart:
Asia Japan Tokyo (ty1) Equinix Starbase cqjev go5zz-xs6yg-mylwl-v7uob-7bg4b-wjzhe-vmrwe-uy7mz-ckaz2-idm33-rqe UP :bar_chart:
Asia Korea (the Republic of) Seoul 2 (kr2) Gasan Web3game 5dwhe wjwzb-q3ogf-fi3po-kf6y6-wzuuj-3ac3m-kjvab-fufsm-z2skq-kthkx-xae UP :bar_chart:
Asia Sri Lanka Colombo 1 (cm1) OrionStellar Geodd Pvt Ltd ywjtr fhg3q-muslh-pp7ur-hcivl-q3kof-mju7a-kjyyf-hjifg-nsa35-nqjv3-7qe UP :bar_chart:
Europe Poland Warszawa 2 (wa2) Central Tower DC Bohatyrov Volodymyr ygsal mswad-oq7wj-5r4yy-b5qoy-cmv7z-wzfb3-ktn6l-rcnrz-mni2f-lsys6-wqe UP :bar_chart:
Asia Singapore Singapore 2 (sg2) Telin OneSixtyTwo Digital Capital qffmn qp3lh-25yxy-dlk4t-ay73d-frr4t-3kmi5-35kqg-3vvbq-26qhh-6xrdr-oqe UP :bar_chart:
Europe Slovenia Ljubljana (lj1) Posita.si Fractal Labs AG gl27f 6adxp-p7u63-xsdtk-lo6oc-vpqmi-44hgt-yv652-cbm5p-mssge-wsrz6-oqe UP :bar_chart:
Europe Sweden Stockholm 1 (sh1) Digital Realty DFINITY Operations SA lgp6d vgfnl-4phvh-44pk3-yshmp-ckwz3-qnzob-l5wnj-pqn2j-vv5jh-3oewk-xqe UP :bar_chart:
Americas United States of America (the) Chicago 3 (ch3) CyrusOne MI Servers t37p3 gtfa3-saq3t-ymlel-lsf6d-ans7b-cr45x-xg5np-xbxyt-nxfrt-iynyy-5qe UP :bar_chart:
Americas United States of America (the) Orlando (or1) Datasite Giant Leaf, LLC redpf z5a4h-43szy-vvp4j-xorii-l6yma-4iyzt-7o3ry-frvqe-azkit-5iag2-rqe UP :bar_chart:
Americas United States of America (the) Panama City 1 (pc1) Navegalo Bianca-Martina Rohner qaes5 y7bml-csbq7-euzyf-njmvm-qfftp-iy7lc-wisaq-jlmul-sdo7p-7lkx4-3ae UP :bar_chart:
Africa South Africa Cape Town 2 (ct2) Teraco Kontrapunt (Pty) Ltd x7fjr kgo2t-vidyw-yw2g5-pqwrt-nr227-rbq2o-pog27-zarc2-dfrlw-vvjge-4qe UP :bar_chart:
Africa South Africa Gauteng 3 (jb3) Xneelo Wolkboer (Pty) Ltd ymenq kwryq-ezysk-c4ono-aet7a-hh6h5-4o3bb-a33et-ef4g5-42tot-zaek6-fae UP :bar_chart:

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.

Another good neuron to follow is Synapse (follows the LORIMER and CodeGov known neurons for Subnet Management, and is a generally well informed known neuron to follow on numerous other topics)

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