Neilneil333
commented
5 months ago Updation f2 multi-signature address： f2o3h3fgyf7sjfpzo75zgukaz3nmyw7cvh6nkxpca
Open martapiekarska opened 5 months ago
Neilneil333
commented
5 months ago Updation f2 multi-signature address： f2o3h3fgyf7sjfpzo75zgukaz3nmyw7cvh6nkxpca
Neilneil333
commented
5 months ago Updation GitHub Bookkeeping Repo Link：https://github.com/Neilneil333/StudyBlock
Neilneil333
commented
4 months ago Hi @Kevin-FF-USA @galen-mcandrew I applied for allocator two weeks ago, when can I expect the new round of allocator approvals to start? Thanks！
Neilneil333
commented
3 months ago Our team attended the governance meeting on August 20 last week. We appreciate the feedback from @Kevin-FF-USA and @galen-mcandrew during the meeting. @Kevin-FF-USA mentioned what makes our allocator unique, and we want to emphasize again that past manual allocators have mostly focused on general data. However, the StudyBlock Allocator is the only one dedicated to the online education sector. The StudyBlock Allocator specifically approves data for online education.
Additionally, during the meeting, @Kevin-FF-USA mentioned some official tasks, which we have already completed in advance. We have set up a f2 multi-signature address: f2o3h3fgyf7sjfpzo75zgukaz3nmyw7cvh6nkxpca, Updation GitHub Bookkeeping Repo Link：https://github.com/Neilneil333/StudyBlock. and our Slack team member for contact is Edison.If you have any questions, please feel free to reach out. Thank you very much!
Kevin-FF-USA
commented
3 months ago Hi @Neilneil333,
Thanks for coming to the recent call with us. Glad to have you interested in the program.
Since there are over 40 current DataCap pathways available and running for applicants to request DataCap currently, we are prioritizing onboarding applications that are implementing systems other than Manual. When this application starts you will be contacted via email and here in this issue for next KYC and onboarding steps. One of the key points as you prepare to apply and serve as an allocator is keeping with the standards in this application. 4+ replicas and retrievable in Spark, with bookkeeping and public documentation of application requests will need to be maintained if onboarded into the program.
Please join us on the next call, would love to hear more and answer any questions you may have. https://docs.google.com/presentation/d/1Ek0TO9AzhLKQLFoFPsIUwKSY7Wp9N0Gefwdb-wU_c34/edit?usp=drive_link
Every other Tuesday (03Sep) Call 1: 0900 pdt /1600 utc Call 2: 1900 pdt / 0200 utc (next day) https://calendar.google.com/calendar/embed?src=c_k1gkfoom17g0j8c6bam6uf43j0%40group.calendar.google.com&ctz=America%2FLos_Angeles
Neilneil333
commented
3 months ago Thank you for your response @Kevin-FF-USA . Our team will continue to participate in the next governance meeting and hopes to obtain a fast-track approval process.
As StudyBlock Allocator is the only community allocator specifically focused on online education, we are committed to promoting the compliant storage of online education data.
We hope the officials can approve this quickly, and together we can contribute to the prosperity of the Filecoin ecosystem.
Neilneil333
commented
2 months ago Hi @galen-mcandrew @Kevin-FF-USA
Yesterday, one of our team members attended the governance meeting. They were a bit nervous, but we greatly appreciate your patience and understanding. The team member had a very positive experience at the meeting!
Actually, we got involved with Filecoin back in 2021, when we invested in mining machines. We have always been optimistic about the future of distributed storage. Since then, we’ve kept in touch with SPs providing mining services, and they informed us that Filecoin has long transitioned from the CC model to the Fil-plus model.
We’ve researched extensively on GitHub and found Fil-plus very interesting. Fil-plus has evolved through V1, V2, V3, V4, and now the V5 allocator model. We are eager to get involved, as we are an educational institution and believe that many similar institutions have a large amount of educational data but struggle with data storage.
In studying existing allocators, we were surprised to find that none are specifically focused on online education data. We believe our idea is quite innovative, so we plan to apply for a highly specialized allocator dedicated to storing online education data.
We have participated in several official governance meetings and, as discussed, we understand the importance of focusing on retrieval and rules. We are confident in our ability to perform well. We will seek SPs with a retrieval rate of at least 20%-50%, and over time, we aim for Spark retrieval rates to increase to over 85%. For SPs that do not meet Spark retrieval standards, we will issue rectification requests, and if they do not adjust, we will terminate cooperation.
This is in response to the questions from yesterday’s meeting. We hope the official team will give us the opportunity to become a unique allocator @galen-mcandrew @Kevin-FF-USA .
Thank you once again!
Neilneil333
commented
2 months ago Hi @galen-mcandrew @Kevin-FF-USA It's been a while, any further replies please?
Kevin-FF-USA
commented
1 month ago Friendly Hello @Neilneil333,
Thanks for the patience while we looked into this. Also, thank you for sharing the Spark specific % that this pathway would be able to maintain in distributions if onboarded.
One of the hurdles the program is overcoming right now is the ability to onboard and support additional Allocator pathways that are especially doing the same process as the 54 existing pathways. Manually reviewing applications. Hence the call for RFA (Request for Allocators) who would be able to join the program and develop new use cases that could be adopted by the wider community.
Kevin-FF-USA
commented
1 month ago One of the scoring mechanisms for pathways is their ability to onboard quality data to the network. Given your existing clients, suggesting a proposal to help establish your ability within the ecosystem to serve as an Allocator performing MANUAL diligence.
Proposal Bring one of your clients into the ecosystem with an Existing Allocator Pathway. Establish that you have real clients and can maintain the diligence standards of this application. Demonstrate that to the community as the ability and value to onboarding this new Manual Pathway.
Steps
Work with any existing Allocator to create an application on behalf of your client. FIDL runs an enterprise Allocator if you were looking for a pathway with existing support in place to help with questions.
Once the data is onboarded, reply back to this application with the following
Onboarding Once the ability to onboard clients through the application process has been verified, this application will receive a KYC check and begin onboarding as an Allocator to onboard clients directly.
For questions or support
Neilneil333
commented
1 month ago @Kevin-FF-USA Thank you for the response. I will arrange for the client (online education) to submit the application immediately.
Kevin-FF-USA
commented
1 month ago Thanks @Neilneil333,
Once this application is processed and completed with TechGreedy, please comment below with
Neilneil333
commented
4 weeks ago Thank you for the reminder @Kevin-FF-USA . I have started the application on behalf of the client.
HarD (Xiamen) Education Technology Group Co.
https://github.com/tech-greedy/EasyOnboard-Allocator/issues/2
Spark retrieval success rates can be referenced https://grafana.filstation.app/d/fea90509-20e8-4d49-b4ad-f0436da9c75d/spark-public-dashboard?orgId=1&from=now-7d&to=now
4.With seven SPs involved in the first round, we think we reached our target number and will work with more and more SPs as the sealing continues.
Online education data.
Data preparers and business mentors.
Neilneil333
commented
1 week ago Hi @Kevin-FF-USA some time has passed, can I get some updates please?
Also in light of the wallet issue, we made an update adjustment: Organization On-chain Identity: f1gdq3yqyjyyyxdqsrtf2oefxxt5ifou72hgs56dq
Updation f2 multi-signature address: f2tv5dsxja2g4d2nryd5bwb62ae4ifldxzek52bki
Allocator Application
Application Number
recjuar7MnhvqZU2w
Organization Name
StudyBlock
Organization On-chain Identity
f1i7m7xzuajypjo7424lh2adah2hsjiuuldlnkoiq
Allocator Pathway Name
StudyBlock Allocator
Github PR Number
70
Region of Operation
Africa,Asia minus GCR,Europe,Greater China Region,North America,Oceania,South America
GitHub ID
Neilneil333
On-chain address
I will provide an address on a later date
Type of Allocator
Similar to existing allocator pathways
Filecoin Community Agreement
As a member in the Filecoin Community, I acknowledge that I must adhere to the Community Code of Conduct, as well other End User License Agreements for accessing various tools and services, such as GitHub and Slack. Additionally, I will adhere to all local & regional laws & regulations that may relate to my role as a business partner, organization, notary, allocator, or other operating entity Acknowledge
Type of Allocator and RFA List
Manual - Existing similar diligence pathway
Allocator Description
Why do you think there is space and need for an additional manual diligence pathway? The current pathways for Filecoin datacap approvals are primarily designed for general storage providers across various sectors. However, the online education sector has unique requirements that warrant a specialized pathway:
What metrics will you improve upon?
In establishing a specialized manual diligence pathway for online education datacap approvals, the following metrics can be enhanced compared to existing pathways:
Contributions to EcosystemBuild better data onboarding pathway,Onboard >10PiBs of Data
Monetization and Fee structure
None.
Target Clients
Commercial/Enterprise,Nonprofit organizations,Individuals,Open/Public
Client Diligence Check
Client promise/attestation,Manual verification
Description of client diligence
Description of Client Diligence Our pathway verifies clients and establishes initial trust through a multi-step approach:
Verification Mechanism: We utilize a comprehensive verification process that includes identity verification, background checks, and validation of business credentials for enterprise clients.
Mitigating Sybil Attacks: To prevent sybil attacks, we implement rate limits and deterministic checks in our automated verification system. This ensures that each entity is verified based on unique, identifiable criteria before datacap allocation.
Authenticity Verification: For enterprise or paying clients, we validate data ownership claims through documentation review, including contracts and digital signatures. This ensures the authenticity and legitimacy of the data stored on Filecoin.
Audit Trail: We maintain detailed records and evidence of our client diligence process. This includes providing auditable proof to the Governance Team, demonstrating compliance with regulatory requirements and best practices in data security and privacy.
This approach ensures robust client verification and trust establishment, safeguarding against potential security risks and ensuring integrity within the Filecoin ecosystem.
Type of data
Public, open, and retrievable
Description of Data Diligence
Description of Data Diligence To verify clients within our specialized online education program:
Scope Verification: We perform rigorous checks to ensure clients' data aligns with online education scope requirements, focusing on educational content integrity and compliance with regional legal standards.
Ownership and Compliance: We validate data ownership through contract reviews and digital signatures, ensuring adherence to local and regional data protection laws such as GDPR and FERPA.
Data Sampling: We employ systematic data sampling techniques to verify the accuracy and integrity of stored educational content, ensuring it matches initial client claims.
Verification Tools: Utilizing blockchain technology and cryptographic proofs, we confirm that data stored in Filecoin deals corresponds accurately with client-provided claims.
Audit Proofs: We maintain detailed documentation and audit trails of our data diligence process, including verification results, legal compliance checks, and data sampling outcomes. These proofs are readily available for review by the Governance team during audits.
This approach guarantees robust data integrity and compliance within the online education sector, enhancing trust and reliability in our Filecoin allocator services.
Data Preparation
Client-provided,Singularity,Other existing ecosystem tooling
Replicas required, verified by CID checker
4+
Distribution required
Equal distribution of deals across regions
Number of Storage Providers required
4+
Retrieval Requirements
Public data highly retrievable over Spark.
Allocation Tranche Schedule TypeManual or other allocation schedule.
Initial Maximum for Each Client: Clients in the initial stages may be subject to restrictions on the overall cap to ensure fair distribution and prevent misuse. This initial cap can gradually increase as the client's participation and reputation grow in the network. Dynamic Adjustment of Overall Cap: With improvements in a client's performance and reputation within the Filecoin network, the overall cap can be dynamically adjusted. This encourages clients to contribute valuable data and actively engage in the Filecoin ecosystem. Allocator Always Follows a ""Limited Trust Over Time"" Approach: More Datacap is gradually released over time based on the time process, such as doubling the rate from the previous round. For example:
First Round: 512 TiB Second Round: 1 PiB Third Round: 2 PiB Fourth Round: 2 PiB Overall Cap for Each Client: (2 PiB)
Will you use FIDL tooling, such as allocator.tech and other bots?
Yes, some tools
GitHub Bookkeeping Repo Link
https://github.com/filecoin-project/Allocator-Governance/pull/70
Success metrics
Number of clients,Retrievability of data,Amount of data onboarded, daily & aggregate,Speed of allocations (TTD)
Timeline to begin allocating to clients
1 week from RKH approval
Funnel: Expected DataCap usage over 12 months
50-75PiB
Risk mitigation strategies
To protect our organization, reputation, and pathway for our specialized online education Filecoin allocator, we will implement robust risk mitigation strategies:
Operational Security (OpSec) Standards: Adhere to industry best practices for OpSec, including regular security audits, encryption of sensitive data, and access control measures to safeguard against unauthorized access.
User Agreements: Require clients to sign comprehensive user agreements outlining acceptable use policies, data ownership rights, and compliance with legal regulations such as GDPR and FERPA. These agreements ensure clarity and accountability in data handling practices.
Alert Systems: Implement real-time monitoring and alert systems to detect suspicious activities or anomalies in DataCap utilization patterns. Alerts will trigger immediate investigation and response to mitigate potential threats or abuse.
Throttling Mechanisms: Employ rate limiting and throttling mechanisms to control and limit the speed or frequency of data transactions, preventing overload scenarios or abusive usage patterns that could compromise network stability or performance.
Audits and Compliance Checks: Conduct regular audits of client accounts and data transactions to verify compliance with contractual obligations and regulatory requirements. These audits provide assurance of data integrity, security, and legal compliance.
Education and Training: Provide ongoing education and training to clients on best practices for secure data storage and management on Filecoin. This empowers clients to uphold security standards and mitigate risks from their end.
Incident Response Plan: Develop and maintain an incident response plan outlining procedures for handling security incidents, including communication protocols, escalation paths, and post-incident reviews to continuously improve response effectiveness.
Reputation Management: Monitor online reputation and feedback channels to promptly address any issues or concerns raised by clients or stakeholders. Swift resolution and transparency demonstrate commitment to maintaining trust and credibility.
By implementing these risk mitigation strategies, we aim to protect our organization, uphold our reputation, and maintain the integrity of our Filecoin allocator pathway dedicated to serving the online education sector securely and responsibly.
Dispute Resolutions
Response time: within 48 hours. Upon receipt of relevant dispute information, I will initiate the process of handling the dispute within 48 hours. Transparency: I will create the proposal on GitHub or Google Public Forms and allow parties to leave comments and submit evidence below the proposal. Dispute communication: Slack or Zoom online meetings. All parties are encouraged to communicate via Slack or Zoom online meetings to express their views and opinions. Accountability Mechanism: If a customer violates the law, penalties will be applied, including deletion of the remaining DataCap credits, blacklisting of the customer and the SP, and barring the customer from reapplying.
Compliance Audit Check
Regular checking: Check the utilization of DataCap regularly.
Track DataCap allocation metrics: Utilize tools such as datacapstats.io, CID checker bots, etc. to monitor DataCap allocation and usage, focusing on key metrics such as DataCap residuals, allocation frequency, and more.
Monitor time metrics: Track time patterns of client DataCap usage, such as frequency and duration of use, to ensure proper allocation. Regularly assess whether clients are completing data storage and usage on time to manage DataCap effectiveness.
Trust Assessment: Conduct an initial trust assessment of new customers, including their historical credit history and business reputation. When they demonstrate compliance and reliability, their trust score, as well as their DataCap allocation, increases.
Use tools such as CID Checker/Retrievability Bot: Utilize tools such as CID Checker to validate the data stored by the client to ensure it matches the declared data. Retrievability bots can be used to monitor and verify the retrievability of data and ensure that clients are adhering to storage protocols.
Compliance Report content presented for audit
Success metric: onchain report of data onboarded,Client Diligence: Client statements, client provided verification,Client Diligence: KYC/KYB report on clients,Data Compliance: Data Samples,Data Compliance: Manual report,Compliance: CID report.
Connections to Filecoin Ecosystem
Big data contributor
Slack ID
Edison