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DataCap and CID Checker Report1

  • Organization: JohnsHopkins University Applied Physics Laboratory
  • Client: f147wnixotnvgcjacmwqlhj7qrkb2g2zhcvt3ykwa

Approvers

1a1991car
1Chuangshi1
1igoovo
1ipollo00
1mikezli
1SuperChaiChai
1sxxfuture-official
1TimGuo7

Storage Provider Distribution

The below table shows the distribution of storage providers that have stored data for this client.

If this is the first time a provider takes verified deal, it will be marked as new.

For most of the datacap application, below restrictions should apply.

  • Storage provider should not exceed 30% of total datacap.
  • Storage provider should not be storing duplicate data for more than 20%.
  • Storage provider should have published its public IP address.
  • All storage providers should be located in different regions.

✔️ Storage provider distribution looks healthy.

Provider Location Total Deals Sealed Percentage Unique Data Duplicate Deals
f02050599 Bangkok, Bangkok, TH
408 Fl4 CATTOWER		 66.81 TiB 3.38% 66.81 TiB 0.00%
f02059180 Bangkok, Bangkok, TH
408 Fl4 CATTOWER		 2.75 TiB 0.14% 2.75 TiB 0.00%
f02058146 Shenzhen, Guangdong, CN
China Telecom (Group)		 134.88 TiB 6.83% 134.88 TiB 0.00%
f02051558 Shenzhen, Guangdong, CN
China Telecom (Group)		 133.06 TiB 6.74% 133.06 TiB 0.00%
f02055638 Putra Heights, Selangor, MY
Gigabit Hosting Sdn Bhd		 76.00 TiB 3.85% 76.00 TiB 0.00%
f02052217 Kuala Lumpur, Kuala Lumpur, MY
Gigabit Hosting Sdn Bhd		 74.94 TiB 3.80% 74.94 TiB 0.00%
f02042112 Hong Kong, Central and Western, HK
IPTELECOM ASIA		 424.00 TiB 21.48% 423.88 TiB 0.03%
f02048990 Hong Kong, Central and Western, HK
IPTELECOM ASIA		 74.56 TiB 3.78% 74.56 TiB 0.00%
f02056391 Hong Kong, Central and Western, HK
IPTELECOM Global		 139.94 TiB 7.09% 139.94 TiB 0.00%
f02041085 Tokyo, Tokyo, JP
IPTELECOM Global		 93.69 TiB 4.75% 93.69 TiB 0.00%
f02072288 Tokyo, Tokyo, JP
IPTELECOM Global		 87.50 TiB 4.43% 87.50 TiB 0.00%
f02053449 Hong Kong, Central and Western, HK
IPTELECOM Global		 71.19 TiB 3.61% 71.19 TiB 0.00%
f02047843 Tokyo, Tokyo, JP
IPTELECOM Global		 57.88 TiB 2.93% 57.88 TiB 0.00%
f02086436 Singapore, Singapore, SG
Leaseweb Asia Pacific pte. ltd.		 27.88 TiB 1.41% 27.88 TiB 0.00%
f02042992 Singapore, Singapore, SG
OVH SAS		 80.13 TiB 4.06% 80.13 TiB 0.00%
f02063409 Singapore, Singapore, SG
OVH SAS		 62.81 TiB 3.18% 62.81 TiB 0.00%
f02096851 Jakarta, Jakarta, ID
PT. Drupadi Prima		 45.88 TiB 2.32% 45.88 TiB 0.00%
f02060013 Paripark, Seoul, KR
The Constant Company, LLC		 153.13 TiB 7.76% 153.13 TiB 0.00%
f01865864 Paripark, Seoul, KR
The Constant Company, LLC		 95.50 TiB 4.84% 95.50 TiB 0.00%
f02100383 Manila, Metro Manila, PH
Zenlayer Inc		 71.50 TiB 3.62% 71.50 TiB 0.00%

Deal Data Replication

The below table shows how each many unique data are replicated across storage providers.

  • No more than 30% of unique data are stored with less than 4 providers.

✔️ Data replication looks healthy.

Unique Data Size Total Deals Made Number of Providers Deal Percentage
271.81 TiB 271.94 TiB 1 13.78%
7.00 TiB 14.00 TiB 2 0.71%
7.31 TiB 21.94 TiB 3 1.11%
10.75 TiB 43.00 TiB 4 2.18%
17.25 TiB 86.25 TiB 5 4.37%
7.94 TiB 47.63 TiB 6 2.41%
5.50 TiB 38.50 TiB 7 1.95%
64.00 GiB 512.00 GiB 8 0.03%
320.00 GiB 2.81 TiB 9 0.14%
2.25 TiB 22.50 TiB 10 1.14%
4.88 TiB 53.63 TiB 11 2.72%
11.25 TiB 135.00 TiB 12 6.84%
16.13 TiB 209.63 TiB 13 10.62%
15.38 TiB 215.25 TiB 14 10.90%
14.50 TiB 217.50 TiB 15 11.02%
11.56 TiB 185.00 TiB 16 9.37%
11.88 TiB 201.88 TiB 17 10.23%
10.25 TiB 184.50 TiB 18 9.35%
1.19 TiB 22.56 TiB 19 1.14%

Deal Data Shared with other Clients2

The below table shows how many unique data are shared with other clients. Usually different applications owns different data and should not resolve to the same CID.

However, this could be possible if all below clients use same software to prepare for the exact same dataset or they belong to a series of LDN applications for the same dataset.

✔️ No CID sharing has been observed.

Footnotes

  1. To manually trigger this report, add a comment with text checker:manualTrigger ↩

  2. To manually trigger this report with deals from other related addresses, add a comment with text checker:manualTrigger <other_address_1> <other_address_2> ... ↩