Open
Yes
10
1.99 day
Client is receiving DataCap from single allocator.
Client was active in last 60 days or spent all its DataCap
The below table shows the distribution of storage providers that have stored data for this client.
Hong Kong, Hong Kong, HK
Sample Piece URL not found
1.55 PiB
Total Deal Size
30.97%
Deal Percentage
0.01% / 128 GiB
Duplication
161893
Total Claims
N/A
RPA
N/A
Consistent RPA
100%
Inconsistent RPA
10995 ms
Time to First Byte
36.94 Mbps
Bandwidth
Hong Kong, Hong Kong, HK
Sample Piece URL not found
1.56 PiB
Total Deal Size
31.04%
Deal Percentage
0.01% / 192 GiB
Duplication
167573
Total Claims
N/A
RPA
N/A
Consistent RPA
100%
Inconsistent RPA
10443 ms
Time to First Byte
87.14 Mbps
Bandwidth
Hong Kong, Hong Kong, HK
Sample Piece URL not found
1.49 PiB
Total Deal Size
29.83%
Deal Percentage
0.02% / 288 GiB
Duplication
150648
Total Claims
N/A
RPA
N/A
Consistent RPA
100%
Inconsistent RPA
11145 ms
Time to First Byte
50.49 Mbps
Bandwidth
Tung Chung, Islands, HK
Sample Piece URL not found
267.19 TiB
Total Deal Size
5.21%
Deal Percentage
0.02% / 64 GiB
Duplication
109117
Total Claims
N/A
RPA
N/A
Consistent RPA
100%
Inconsistent RPA
10441 ms
Time to First Byte
1.44 Mbps
Bandwidth
Los Angeles, California, US
Sample Piece URL not found
151.47 TiB
Total Deal Size
2.95%
Deal Percentage
0.02% / 32 GiB
Duplication
110242
Total Claims
N/A
RPA
N/A
Consistent RPA
100%
Inconsistent RPA
10472 ms
Time to First Byte
76.28 Mbps
Bandwidth
The below table shows how each many unique data are replicated across storage providers.
| Providers | Unique Data | Total Deals | Percentage |
|---|---|---|---|
| 2 | 180.63 TiB | 361.25 TiB | 7.04% |
| 1 | 135.44 TiB | 135.44 TiB | 2.63% |
| 3 | 1.26 PiB | 3.79 PiB | 75.64% |
| 4 | 25.22 TiB | 101 TiB | 1.96% |
| 5 | 130.41 TiB | 652.09 TiB | 12.71% |
| 1.72 PiB Total |
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.