-
Notifications
You must be signed in to change notification settings - Fork 41
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
2nd Community Review of Bitengine-Reeta Allocator #221
Comments
@Bitengine-reeta 5 PiB granted to existing clients:
What does it mean? Initial storage on filecoin and what after that?
|
Once again, thank you to @filecoin-watchdog for your hard work. When it comes to the allocator model, we have generally operated based on our own understanding, often lacking a unified set of standards. However, the guidance provided by @filecoin-watchdog has given us a new direction for reviewing our operations. Here’s my attempt to summarize the areas for improvement mentioned by @filecoin-watchdog: 1. A small number of SPs do not match the actual sealing processes, but it's important to note that most SPs are well-matched. 2. A few SPs have a Spark retrieval success rate of 0%, but it's important to note that the average Spark retrieval success rate is 47%, which is considered moderate. Some well-performing SPs have a Spark retrieval success rate of over 90%. At this stage, the entire community is aware that Spark and DDO modes are incompatible. However, this is not an excuse for a 0% Spark retrieval rate. Therefore, we tend to approve applications that are not in DDO mode, which has been reflected in recent sealing activities. Additionally, we recommend that clients cease cooperation with SPs using the DDO order mode. Due to recent upgrades to the mainnet version, some SPs have experienced a decline in their Spark retrieval success rates. We believe this situation will improve soon. We have also communicated offline with SPs that do not use the DDO order mode. They informed us that technical teams are working on the issue, and improvements are expected by early December. We have attached the current status for comparison to track ongoing improvements. 3. filplus-bookkeeping/Bitengine-Reeta-Filplus#5 "declared 6 replicas on the client side, but there are actually 9." The client has provided an explanation, and we believe that in the early stages of Filecoin data storage, this reason is credible. |
Replies to questions about https://github.com/filplus-bookkeeping/Bitengine-Reeta-Filplus/issues/15:
5% of total DataCap requested: 8 * 1024 * 5% = 409.6TiB However, in the case of the first round issuance of 200TiB in filplus-bookkeeping/Bitengine-Reeta-Filplus#7, there was no issue. The client requested a total of 4.5PiB, with a Weekly allocation of DataCap requested at 400TiB. 5% of total DataCap requested: 4.5 * 1024 * 5% = 230.4TiB Please see the link for details:filecoin-project/notary-governance#1015 |
Replies to questions about https: filplus-bookkeeping/Bitengine-Reeta-Filplus#7 : Regarding the issues related to sxqiaonao, we have also confirmed them. Given that this is only the first round of 200 TiB, we look forward to the progress in subsequent rounds. |
Finally, we would like to emphasize that as of now: our client has collaborated with 31 different SPs, including f03055029, f03055005, f0870558, f03055018, f01315096, f01106668, f01518369, f01889668, f03074589, f03173127, f03074587, f03144037, f02013352, f03091739, f03074583, f03074586, f03179570, f03179572, f03156617, f03190616, f02199999, f03148356, f03190614, f03188440, f03229933, f03178077, f03178144, f03214937, f03151449, f03229932, and f01928097. This collaboration is highly encouraging and commendable, as it fully demonstrates the vision of distributed storage in Filecoin. It is understandable that there are differences in Spark retrieval rates among these SPs due to variations in resources and technical capabilities. We look forward to continued improvement from both current and new SPs. We hope to receive more support from the governance team to enable us to continue our efforts. |
|
Thank you for your ongoing feedback. We greatly value your opinions and agree with your points. As I initially responded, in the operation of the allocator, we often operate and review based on our own understanding, lacking a unified standard. However, your review comments have provided us with a clear direction for our reviews.
We still want to give filplus-bookkeeping/Bitengine-Reeta-Filplus#5 another chance. If there is no improvement subsequently, we will stop the Datacap approval and close the issue.
For example, add a confirmation question: "Has this dataset been stored on Filecoin before? If so, why are you choosing to store it again?" Use the review tool https://allocator.tech/ for verification. |
Additionally, I would like to understand how you identify duplicate data applications beyond "client commitment" and using the https://allocator.tech/ tool for queries? This would be very helpful for our future review processes. |
This question is already included in the form, but clients tend to omit it. The best solution is to consistently verify clients' statements against factual data.
To continue this topic and at the same time answer the above question, let me show you how I'm doing it:
|
Thank you for sharing the review methods; we can also follow these guidelines in the future. In summary, during the review process going forward, we will pay special attention to the following areas:
We look forward to our progress in the future, and we will be watching closely. We hope to obtain 10 PiB of DataCap support to promote the development of the Filecoin network. Thank you again! |
Continued updates are being made to highlight that our team is also actively assisting SPs in resolving the Spark retrieval success rate issues. Compared to last week, there is a noticeable improvement in the Spark retrieval success rate. We will continue to monitor and support this progress. |
Thanks for all the additional context @Bitengine-reeta, As more of these refresh requests are processed, greater adherence to the diligence plans in each pathways application will need to be maintained in order to justify receiving additional DC to distribute. Thanks for providing the additional context on these distributions, makes it helpful to understand the clients and how you are working to support them. Next step is this application will receive a final review from Galen next week. Warmly, |
Thanks for @Kevin-FF-USA feedback. Currently, we have no issues and look forward to further guidance from the official team. |
Lots of great engagement and diligence above, including seeking ways to improve processes on both sides. Trying to summarize some of the areas for focus:
We are requesting 10PiB of DataCap for this pathway. |
Latest report:https://compliance.allocator.tech/report/f03014781/1730765561/report.md
Currently, a total of 5 clients have applied to us, of which 1 is a public dataset and 4 are enterprise datasets (2 have been approved and the other 2 are still under communication).
The average Spark search success rate is 47%, which is a medium level. The main reason is that some customers use the DDO model. In the future, we plan to reduce or stop cooperation with customers who use the DDO order model. For customers with low Spark search rates, our technical team is also helping customers improve the Spark search success rate. We look forward to our continued improvement in the future.
The text was updated successfully, but these errors were encountered: