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2nd Community Diligence Review of DSPA-Asia Allocator #170
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Allocator Application pandacrypto/DSPA-Allocator#11 pandacrypto/DSPA-Allocator#8 pandacrypto/DSPA-Allocator#6 pandacrypto/DSPA-Allocator#14 Many SPs overlap between clients. This allocator has 4 clients overall: |
Thank you watchdog for your patience in reviewing this.
Spark shows “ - ” SPs nodes with DDO mode, details can be viewed in the following screenshot (part): |
DSPA-Asia's good ecological influence of filecoin community has gained a lot of attention from SPs and data customers. In the communication of clients applying for Datacap from us, we also recommend SPs with good ratings from DSPA-Asia. but we think it's all different datasets, which seems to help the filecoin community to be stronger and bigger as well. |
Referring to the first topic regarding the DC application, I understand that the divisibility of data by 18 or 32 does not always give an equal number of sectors. However, from what you say, you are taking up a 32GB sector with 18GB data, which is suboptimal. We should be aiming for 100% storage, not 50%. |
We currently recommend that clients use the *Singularity tool developed by the official team member Xinan Xu for data slicing. If the official team has a more suitable tool or guideline to recommend, we would greatly appreciate your guidance. We are open to following new tools for data preparation in the future. Thank you! |
this is absolutely untrue and is not a norm we should accept. deals should be full of data, not half full. |
Singularity has the parameter of |
Thank you, @willscott for your response. As mentioned by @filecoin-watchdog even though this may not be the perfect solution, it consider second-best option. DSPA-Asia, through the support of Protocol Lab, organized two bootcamps in Hong Kong and Singapore in March and September 2023, respectively. During these events, we accumulated significant data from clients and SPs and received real market feedback. We collectively agreed that achieving fully distributed storage for Filecoin will take some time and more exploration/best practices. For example, data clients often struggle to find highly reputable SPs. In terms of data storage, we believe the process will go through the following stages: CC data, SPs paying fees to find real data, free storage, paid storage, and efficient data retrieval. Each stage will have different data requirements. From our opinion, a high standards requirement from the beginning may not be the best approach. At the same time, until a more effective tool than Xinan Xu's Singularity been developed, we will continue using the current tool. The tool is highly beneficial for data slicing. Alternatively, we suggest the official team consider upgrading the Singularity tool to achieve 1:1 data slicing. In conclusion, while the current approach may not be the optimal solution, it is at least a second-best choice. It is a pragmatic strategy to encourage more data clients to join the Filecoin network! |
My response above is to the previous draft of this message. |
Thanks @willscott. We have received your feedback. DSPA technical partners will conduct in-depth research on Singularity. If Singularity can indeed change parameter configuration, we will provide new work guidance to data customers. If you have any questions, please feel free to communicate. Thank you. |
Appreciate the good investigation and solutions-driven approach here. We are all hoping to make the network more efficient, useful, and effective for decentralized data storage. We would love to see some additional developments around the data slicing and sector-sizing issues raised above. Please communicate with your clients and SPs to work towards increased optimization here, and we will continue to monitor. If you are able to develop tools that can review and report on overall 'padding', that would be a very useful metric for the community. Additionally, we would love to see increased enterprise data storage, with on-chain deal pricing as a provable metric for compliance. Hopefully your team is able to keep these in mind, and perhaps make some additional developments, suggestions, or tools for the community. Given the above investigation, we will request an additional 20PiB of DataCap from RKH, to allow this allocator to show increased diligence and alignment. |
Thank you @galen-mcandrew for your feedback. We will continue to improve, so please stay tuned! |
DataCap was refilled. |
Latest Compliance Report: https://compliance.allocator.tech/report/f03010575/1726790532/report.md
Previous Compliance Review Comments: #21
Based on the previous compliance review comments, DSPA-Asia has made improvements in the operation of the allocator process.
We have expanded the types of data clients, adding enterprise datasets in addition to public datasets, thereby enriching the types of data in the allocator. For details, please see the link: [DataCap Application] <Hantang Cloud> - <Cloud Era Cloud Monitoring> pandacrypto/DSPA-Allocator#22.
The success rate of Spark retrieval has significantly improved, with many SPs achieving a success rate of over 80%.
We kindly request the official team to review the overall operation of the DSPA-Asia Allocator. We are pleased to note significant progress in the operational process of the allocator, and we will continue to improve in the following areas:
We appreciate the official team's attention to our ongoing operations and look forward to working together!
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