Enterprise
Yes
10
9.93 days
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.
| Provider | Location | Total Deal Size | Percentage | Duplication | Total claims | RPA | Piece URL |
|---|---|---|---|---|---|---|---|
| f03641915 | São Paulo, São Paulo, BR | 10.44 TiB | 0.06% | 0% | 50879 | 100% | |
| f03641951 | Hong Kong, Hong Kong, HK | 39.97 TiB | 0.23% | 0% | 47190 | 100% | |
| f03641955 | Frankfurt am Main, Hesse, DE | 40 TiB | 0.23% | 0% | 47334 | 100% | |
| f03641964 | Mountain View, California, US | 39.97 TiB | 0.23% | 0% | 47152 | 100% | |
| f03641974 | Ho Chi Minh City, Ho Chi Minh City (HCMC), VN | 40 TiB | 0.23% | 0% | 47243 | 100% | |
| f03641984 | São Paulo, São Paulo, BR | 5.91 TiB | 0.03% | 0% | 47658 | 100% |
The below table shows how each many unique data are replicated across storage providers.
| Providers | Unique Data | Total Deals | Percentage |
|---|---|---|---|
| 4 | 29.5 TiB | 118 TiB | 66.93% |
| 5 | 4.53 TiB | 22.66 TiB | 12.85% |
| 6 | 5.91 TiB | 35.44 TiB | 20.1% |
| 3 | 64 GiB | 192 GiB | 0.1% |
| 40 TiB 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.
| Client | Total Deals Affected | Unique CIDs |
|---|---|---|
| f03545639 | 29.56 TiB | 946 |