Share a brief history of your project and organization
VshareCloud is an innovative open-source distributed storage and computing platform, designed to offer an efficient, scalable, and cost-effective solution for the big data and cloud computing sectors. Leveraging advanced IPFS distributed technology, VshareCloud can seamlessly operate across a variety of hardware and network environments, supporting a wide range of application scenarios from small businesses to large data centers. Through in-depth research on IPFS and unique data management and processing mechanisms, VshareCloud optimizes data storage, access, and computation processes, thereby enhancing system performance, reducing latency, and ensuring data security and integrity.We are also committed to developing more Filecoin/IPFS applications to help Filecoin/IPFS technology better integrate into people's lives.
Is this project associated with other projects/ecosystem stakeholders?
Yes
If answered yes, what are the other projects/ecosystem stakeholders
As a member of the Filecoin ecosystem, as stated in (https://gateway.ipns.tech/ipns/docs.vshare.cloud/whitepaper/WhitePaper_en/TechnicalArchitecture#data-region-division-and-order-matching-rules), we will use Filecoin as a data backup region, encrypting customer data and storing it in the Filecoin network. Moreover, as we advance the ecosystem with AI and distributed computing, we will generate many large data sets. It is impractical to store all these data solely with our resources. We hope to empower the Filecoin network while also increasing the availability of network storage capacity.
Where was the data currently stored in this dataset sourced from
My own storage infra
If you answered "Other" in the previous question, enter the details here
n/a
If you are a data preparer, what is your location (City and Country)
Hong Kong
If you are a data preparer, how will the data be prepared? Please include tooling used and technical details?
For private content (such as customer data), we will use a method similar to the one found at https://github.com/VshareCloud-Project/Filecoin-Storage-Tool/ , where we encrypt and package the data using openssl and zstd before splitting it into volumes. For open data sets, we will directly package and split them into volumes (although most compression algorithms have a general effect on AI model weights and data sets). After the data set is split, we will use Boost for CommP calculations, converting it into .car files. After initiating an offline deal, we will use our IPFS-based distribution network for transmission, and the data will be delivered to the Storage Provider (SP) to download from the IPFS network and import into the nodes Boostd, further importing the data into sectors and completing the deal.
If you are not preparing the data, who will prepare the data? (Provide name and business)
n/a
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.
Data Owner Name
VshareCloud
What is your role related to the dataset
Data Preparer
Data Owner Country/Region
Hong Kong
Data Owner Industry
IT & Technology Services
Website
https://vshare.cloud
Social Media
https://t.me/vsharebetter (Telegram)
Total amount of DataCap being requested
2 PiB
Expected size of single dataset (one copy)
300 GiB
Number of replicas to store
3
Weekly allocation of DataCap requested
5 TiB
On-chain address for first allocation
f1xhu34dnkrzxeictv4vq6aoqorxiuczyuoawokai
Data Type of Application
Public, Open Commercial/Enterprise
Custom multisig
Identifier
n/a
Share a brief history of your project and organization
VshareCloud is an innovative open-source distributed storage and computing platform, designed to offer an efficient, scalable, and cost-effective solution for the big data and cloud computing sectors. Leveraging advanced IPFS distributed technology, VshareCloud can seamlessly operate across a variety of hardware and network environments, supporting a wide range of application scenarios from small businesses to large data centers. Through in-depth research on IPFS and unique data management and processing mechanisms, VshareCloud optimizes data storage, access, and computation processes, thereby enhancing system performance, reducing latency, and ensuring data security and integrity.We are also committed to developing more Filecoin/IPFS applications to help Filecoin/IPFS technology better integrate into people's lives.
Is this project associated with other projects/ecosystem stakeholders?
Yes
If answered yes, what are the other projects/ecosystem stakeholders
https://fil.org/ecosystem-projects/vsharecloud/
Describe the data being stored onto Filecoin
As a member of the Filecoin ecosystem, as stated in (https://gateway.ipns.tech/ipns/docs.vshare.cloud/whitepaper/WhitePaper_en/TechnicalArchitecture#data-region-division-and-order-matching-rules), we will use Filecoin as a data backup region, encrypting customer data and storing it in the Filecoin network. Moreover, as we advance the ecosystem with AI and distributed computing, we will generate many large data sets. It is impractical to store all these data solely with our resources. We hope to empower the Filecoin network while also increasing the availability of network storage capacity.
Where was the data currently stored in this dataset sourced from
My own storage infra
If you answered "Other" in the previous question, enter the details here
n/a
If you are a data preparer, what is your location (City and Country)
Hong Kong
If you are a data preparer, how will the data be prepared? Please include tooling used and technical details?
For private content (such as customer data), we will use a method similar to the one found at https://github.com/VshareCloud-Project/Filecoin-Storage-Tool/ , where we encrypt and package the data using openssl and zstd before splitting it into volumes. For open data sets, we will directly package and split them into volumes (although most compression algorithms have a general effect on AI model weights and data sets). After the data set is split, we will use Boost for CommP calculations, converting it into .car files. After initiating an offline deal, we will use our IPFS-based distribution network for transmission, and the data will be delivered to the Storage Provider (SP) to download from the IPFS network and import into the nodes Boostd, further importing the data into sectors and completing the deal.
If you are not preparing the data, who will prepare the data? (Provide name and business)
n/a
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.
n/a
Please share a sample of the data
https://gateway.ipns.tech/ipfs/QmfC5KT8UP9Avc8MHxVoT9j7CFTZDZ4AqctY2ouNhztke6 https://gateway.ipns.tech/ipfs/QmZ51Vb9aCgUZPXva71be9hD8FuWnd8Ks4qg7AmGtdFPEK https://gateway.ipns.tech/ipfs/QmeMa2yRpaxZzX8qZ7knqgsY22wz7o7MSkEaRA5PcJ2F13
Confirm that this is a public dataset that can be retrieved by anyone on the Network
Yes
If you chose not to confirm, what was the reason
n/a
What is the expected retrieval frequency for this data
Monthly
For how long do you plan to keep this dataset stored on Filecoin
More than 3 years
In which geographies do you plan on making storage deals
Asia other than Greater China, North America, Europe
How will you be distributing your data to storage providers
IPFS
How do you plan to choose SP
Slack
If you answered "Others" in the previous question, what is the tool or platform you plan to use
n/a
If you already have a list of storage providers to work with, fill out their names and provider IDs below
n/a
How do you plan to make deals to your storage providers
Boost client
If you answered "Others/custom tool" in the previous question, enter the details here
n/a
Can you confirm that you will follow the Fil+ guideline
Yes
Application created via filplus.storage