[DataCap Application] mt - bigdata02

bluketalk commented 7 months ago

Version

1

DataCap Applicant

yann-y

Project ID

1

Data Owner Name

noaa

Data Owner Country/Region

American Samoa

Data Owner Industry

Environment

Website

https://www.mty.wang

Social Media Handle

yann

Social Media Type

Slack

What is your role related to the dataset

Dataset Owner

Total amount of DataCap being requested

1PiB

Expected size of single dataset (one copy)

200TiB

Number of replicas to store

5

Weekly allocation of DataCap requested

200TiB

On-chain address for first allocation

f1ros77tqminx2v5ni3ley526333m3rdj7gg43hna

Data Type of Application

Public, Open Dataset (Research/Non-Profit)

Custom multisig

[ ] Use Custom Multisig

Identifier

No response

Share a brief history of your project and organization

Team: MTYW Team

Maitian Yunwang (Hangzhou) Information Technology Co., Ltd. was established in 2020 and is a high-tech enterprise specializing in distributed data storage. It is a new force and driving force in the national new infrastructure construction team. The company takes identity authentication technology as its security infrastructure and building a distributed storage architecture as its technical roadmap, committed to independent research and application of trusted private cloud technology. The company's services are based on the Maitian Cloud Network distributed private cloud platform, utilizing advanced technologies such as big data and cloud computing to integrate government and enterprise business data, monitoring data, operational data, etc., to provide customers with end-to-end intelligent value-added services, driven by data.

Project: Distributed Cloud Storage（ https://www.mty.wang/data-storage ）

MNStar is a storage system independently developed by Maitian Cloud Network based on the architecture design and operational experience of object storage services. It is a stable, reliable, high-performance, and flexible elastic computing service provided by Maitian Cloud Network to customers. Customers can create and use cloud servers according to different business needs at any time, saving a lot of time and cost compared to IT hardware, while simplifying IT procurement, deployment, implementation, operation and maintenance work. Capable of building hundreds of EB level highly reliable, secure, low-cost, and scalable business systems for customers to meet diverse unstructured data storage needs.

Is this project associated with other projects/ecosystem stakeholders?

No

If answered yes, what are the other projects/ecosystem stakeholders

No response

Describe the data being stored onto Filecoin

The data stored in Filecoin is from publicly available datasets with important information for environments via NOAA.

Where was the data currently stored in this dataset sourced from

AWS Cloud

If you answered "Other" in the previous question, enter the details here

AWS Cloud

If you are a data preparer. What is your location (Country/Region)

China

If you are a data preparer, how will the data be prepared? Please include tooling used and technical details?

We use go-graphsplit to split a large dataset into graph slices to make deals.
storage and retrieval use droplet

If you are not preparing the data, who will prepare the data? (Provide name and business)

No response

Has this dataset been stored on the Filecoin network before? If so, please explain and make the case why you would like to store this dataset again to the network. Provide details on preparation and/or SP distribution.

No response

Please share a sample of the data

https://registry.opendata.aws/noaa-gmgsi/
s3://noaa-gmgsi-pds/
https://registry.opendata.aws/noaa-coastal-lidar/
s3://noaa-nos-coastal-lidar-pds/
https://registry.opendata.aws/noaa-ghe/
s3://noaa-ghe-pds/
https://registry.opendata.aws/noaa-s111/
s3://noaa-s111-pds/
s3://noaa-ufs-prototypes-pds/
https://registry.opendata.aws/noaa-ghcn/
s3://noaa-ghcn-pds/
https://registry.opendata.aws/noaa-rtofs/
s3://noaa-nws-rtofs-pds/

Confirm that this is a public dataset that can be retrieved by anyone on the Network

[X] I confirm

If you chose not to confirm, what was the reason

No response

What is the expected retrieval frequency for this data

Weekly

For how long do you plan to keep this dataset stored on Filecoin

1.5 to 2 years

In which geographies do you plan on making storage deals

Greater China, North America

How will you be distributing your data to storage providers

Cloud storage (i.e. S3)

How did you find your storage providers

Slack

If you answered "Others" in the previous question, what is the tool or platform you used

No response

Please list the provider IDs and location of the storage providers you will be working with.

1. f01934215, lijiang
2. f01904929, Wuzhen
3. f02057286, US
4. f01915051, hangzhou
5. f01901765, China

How do you plan to make deals to your storage providers

Droplet client

If you answered "Others/custom tool" in the previous question, enter the details here

No response

Can you confirm that you will follow the Fil+ guideline

Yes

MikeH1999 commented 1 week ago

checker:manualTrigger

datacap-bot[bot] commented 1 week ago

DataCap and CID Checker Report Summary[^1]

Storage Provider Distribution

✔️ Storage provider distribution looks healthy.

Deal Data Replication

✔️ Data replication looks healthy.

Deal Data Shared with other Clients[^3]

✔️ No CID sharing has been observed.

[^1]: To manually trigger this report, add a comment with text checker:manualTrigger

[^2]: Deals from those addresses are combined into this report as they are specified with checker:manualTrigger

[^3]: To manually trigger this report with deals from other related addresses, add a comment with text checker:manualTrigger <other_address_1> <other_address_2> ...

Full report

Click here to view the CID Checker report.

MikeH1999 commented 1 week ago

Too long to see support for Spark retrieval rate, will be turned off

MikeH1999 / RFfil