Computing Provider

A computing provider is an individual or organization that participates in the decentralized computing network by offering computational resources such as processing power (CPU and GPU), memory, storage, and bandwidth.

As a resource provider, you can run a ECP(Edge Computing Provider) and FCP(Fog Computing Provider) to contribute yourcomputing resource.

ECP (Edge Computing Provider) specializes in processing data at the source of data generation, using minimal latency setups ideal for real-time applications. This provider handles specific, localized tasks directly on devices at the network’s edge, such as IoT devices. At the current stage, ECP supports the generation of ZK-Snark proof of Filecoin network, and more ZK proof types will be gradually supported, such as Aleo, Scroll, starkNet, etc. Install Guideline
FCP (Fog Computing Provider) Offers a layered network that extends cloud capabilities to the edge of the network, providing services such as AI model training and deployment. This provider utilizes infrastructure like Kubernetes (K8S) to support scalable, distributed computing tasks. FCP will execute tasks assigned by Market Provider, like Orchestrator on the Swan chain.

Table of Content

As a ECP
- Run Edge Computing Provider
As a FCP

Prerequisites

Before you install the Computing Provider, you need to know there are some resources required:

Possess a public IP
Have a domain name (*.example.com)
Have an SSL certificate
Go version must 1.21+, you can refer here:

wget -c https://golang.org/dl/go1.21.7.linux-amd64.tar.gz -O - | sudo tar -xz -C /usr/local

echo "export PATH=$PATH:/usr/local/go/bin" >> ~/.bashrc && source ~/.bashrc

Install the Kubernetes

The Kubernetes version should be v1.24.0+

Install Container Runtime Environment

If you plan to run a Kubernetes cluster, you need to install a container runtime into each node in the cluster so that Pods can run there, refer to here. And you just need to choose one option to install the Container Runtime Environment

Option 1: Install the `Docker` and `cri-dockerd` （Recommended）

To install the Docker Container Runtime and the cri-dockerd, follow the steps below:

Install the Docker:
- Please refer to the official documentation from here.
Install cri-dockerd:
- cri-dockerd is a CRI (Container Runtime Interface) implementation for Docker. You can install it refer to here.

Option 2: Install the `Docker` and the`Containerd`

Install the Docker:
- Please refer to the official documentation from here.
To install Containerd on your system:
- Containerd is an industry-standard container runtime that can be used as an alternative to Docker. To install containerd on your system, follow the instructions on getting started with containerd.

Optional-Setup a docker registry server

If you are using the docker and you have only one node, the step can be skipped.

If you have deployed a Kubernetes cluster with multiple nodes, it is recommended to set up a private Docker Registry to allow other nodes to quickly pull images within the intranet.

Create a directory /docker_repo on your docker server. It will be mounted on the registry container as persistent storage for our docker registry.
```
sudo mkdir /docker_repo
sudo chmod -R 777 /docker_repo
```

Launch the docker registry container:

sudo docker run --detach \
--restart=always \
--name registry \
--volume /docker_repo:/docker_repo \
--env REGISTRY_STORAGE_FILESYSTEM_ROOTDIRECTORY=/docker_repo \
--publish 5000:5000 \
registry:2

Add the registry server to the node
- If you have installed the Docker and cri-dockerd(Option 1), you can update every node's configuration:
```
sudo vi /etc/docker/daemon.json
```
```
## Add the following config
"insecure-registries": ["<Your_registry_server_IP>:5000"]
```
Then restart the docker service
```
sudo systemctl restart docker
```
- If you have installed the containerd(Option 2), you can update every node's configuration:

[plugins."io.containerd.grpc.v1.cri".registry]
  [plugins."io.containerd.grpc.v1.cri".registry.mirrors]
    [plugins."io.containerd.grpc.v1.cri".registry.mirrors."<Your_registry_server_IP>:5000"]
      endpoint = ["http://<Your_registry_server_IP>:5000"]

[plugins."io.containerd.grpc.v1.cri".registry.configs]
  [plugins."io.containerd.grpc.v1.cri".registry.configs."<Your_registry_server_IP>:5000".tls]
      insecure_skip_verify = true

Then restart containerd service

sudo systemctl restart containerd

: the intranet IP address of your registry server.

Finally, you can check the installation by the command:

docker system info

Create a Kubernetes Cluster

To create a Kubernetes cluster, you can use a container management tool like kubeadm. The below steps can be followed:

Install the Network Plugin

Calico is an open-source networking and network security solution for containers, virtual machines, and native host-based workloads. Calico supports a broad range of platforms including Kubernetes, OpenShift, Mirantis Kubernetes Engine (MKE), OpenStack, and bare metal services.

To install Calico, you can follow the below steps, more information can be found here.

step 1: Install the Tigera Calico operator and custom resource definitions

kubectl create -f https://raw.githubusercontent.com/projectcalico/calico/v3.25.1/manifests/tigera-operator.yaml

step 2: Install Calico by creating the necessary custom resource

kubectl create -f https://raw.githubusercontent.com/projectcalico/calico/v3.25.1/manifests/custom-resources.yaml

step 3: Confirm that all of the pods are running with the following command

watch kubectl get pods -n calico-system

step 4: Remove the taints on the control plane so that you can schedule pods on it.

kubectl taint nodes --all node-role.kubernetes.io/control-plane-
kubectl taint nodes --all node-role.kubernetes.io/master-

If you have installed it correctly, you can see the result shown in the figure by the command kubectl get po -A

Note:

If you are a single-host Kubernetes cluster, remember to remove the taint mark, otherwise, the task can not be scheduled to it.
```
kubectl taint node ${nodeName}  node-role.kubernetes.io/control-plane:NoSchedule-
```

Install the NVIDIA Plugin

If your computing provider wants to provide a GPU resource, the NVIDIA Plugin should be installed, please follow the steps:

Install NVIDIA Driver.

Recommend NVIDIA Linux drivers version should be 470.xx+
Install NVIDIA Device Plugin for Kubernetes.

If you have installed it correctly, you can see the result shown in the figure by the command kubectl get po -n kube-system

Install the Ingress-nginx Controller

The ingress-nginx is an ingress controller for Kubernetes using NGINX as a reverse proxy and load balancer. You can run the following command to install it:

kubectl apply -f https://raw.githubusercontent.com/kubernetes/ingress-nginx/controller-v1.7.1/deploy/static/provider/cloud/deploy.yaml

If you have installed it correctly, you can see the result shown in the figure by the command:

Run kubectl get po -n ingress-nginx

Run kubectl get svc -n ingress-nginx

Install and config the Nginx

Install Nginx service to the Server
```
sudo apt update
sudo apt install nginx
```
Add a configuration for your Domain name Assume your domain name is *.example.com
```
vi /etc/nginx/conf.d/example.conf
```

map $http_upgrade $connection_upgrade {
    default upgrade;
    ''      close;
}

server {
        listen 80;
        listen [::]:80;
        server_name *.example.com;                                           # need to your domain
        return 301 https://$host$request_uri;
        #client_max_body_size 1G;
}
server {
        listen 443 ssl;
        listen [::]:443 ssl;
        ssl_certificate  /etc/letsencrypt/live/example.com/fullchain.pem;     # need to config SSL certificate
        ssl_certificate_key  /etc/letsencrypt/live/example.com/privkey.pem;   # need to config SSL certificate

        server_name *.example.com;                                            # need to config your domain
        location / {
          proxy_pass http://127.0.0.1:<port>;   # Need to configure the Intranet port corresponding to ingress-nginx-controller service port 80 
          proxy_set_header Host $http_host;
          proxy_set_header Upgrade $http_upgrade;
          proxy_set_header Connection $connection_upgrade;
       }
}

Note:
- server_name: a generic domain name
- ssl_certificate and ssl_certificate_key: certificate for https.
- proxy_pass: The port should be the Intranet port corresponding to ingress-nginx-controller service port 80
Reload the Nginx config
```
sudo nginx -s reload
```
Map your "catch-all (wildcard) subdomain(*.example.com)" to a public IP address

Install the Hardware resource-exporter

The resource-exporter plugin is developed to collect the node resource constantly, computing provider will report the resource to the Lagrange Auction Engine to match the space requirement. To get the computing task, every node in the cluster must install the plugin. You just need to run the following command:

cat <<EOF | kubectl apply -f -
apiVersion: apps/v1
kind: DaemonSet
metadata:
  namespace: kube-system
  name: resource-exporter-ds
  labels:
    app: resource-exporter
spec:
  selector:
    matchLabels:
      app: resource-exporter
  template:
    metadata:
      labels:
        app: resource-exporter
    spec:
      containers:
      - name: resource-exporter
        image: filswan/resource-exporter:v11.2.7
        imagePullPolicy: IfNotPresent
EOF

If you have installed it correctly, you can see the result shown in the figure by the command: kubectl get po -n kube-system

Build and config the Computing Provider

Build the Computing Provider

Firstly, clone the code to your local:

git clone https://github.com/swanchain/go-computing-provider.git
cd go-computing-provider
git checkout releases

Then build the Computing provider follow the below steps:

make clean && make
make install

Update Configuration

The computing provider's configuration sample locate in ./go-computing-provider/config.toml.sample

cp config.toml.sample config.toml

Edit the necessary configuration files according to your deployment requirements. These files may include settings for the computing-provider components, container runtime, Kubernetes, and other services.

[API]
Port = 8085                                    # The port number that the web server listens on
MultiAddress = "/ip4/<public_ip>/tcp/<port>"   # The multiAddress for libp2p
Domain = ""                                    # The domain name
NodeName = ""                                  # The computing-provider node name
WalletWhiteList = ""                           # CP only accepts user addresses from this whitelist for space deployment

[UBI]
UbiEnginePk = "0xB5aeb540B4895cd024c1625E146684940A849ED9"     # UBI Engine's public key, CP only accept the task from this UBI engine

[LOG]
CrtFile = "/YOUR_DOMAIN_NAME_CRT_PATH/server.crt"              # Your domain name SSL .crt file path
KeyFile = "/YOUR_DOMAIN_NAME_KEY_PATH/server.key"              # Your domain name SSL .key file path

[HUB]
ServerUrl = "https://orchestrator-api.swanchain.io"            # The Orchestrator's API address
AccessToken = ""                                               # The Orchestrator's access token, Use the owner address Acquired from "https://orchestrator.swanchain.io"
BalanceThreshold= 1                                            # The cp’s collateral balance threshold
OrchestratorPk = "0x29eD49c8E973696D07E7927f748F6E5Eacd5516D"  # Orchestrator's public key, CP only accept the task from this Orchestrator
VerifySign = true                                              # Verify that the task signature is from Orchestrator

[MCS]
ApiKey = ""                                   # Acquired from "https://www.multichain.storage" -> setting -> Create API Key
BucketName = ""                               # Acquired from "https://www.multichain.storage" -> bucket -> Add Bucket
Network = "polygon.mainnet"                   # polygon.mainnet for mainnet, polygon.mumbai for testnet

[Registry]
ServerAddress = ""                            # The docker container image registry address, if only a single node, you can ignore
UserName = ""                                 # The login username, if only a single node, you can ignore
Password = ""                                 # The login password, if only a single node, you can ignore

[RPC]
SWAN_TESTNET ="https://rpc-proxima.swanchain.io"  # Swan testnet RPC
SWAN_MAINNET= ""                              # Swan mainnet RPC

[CONTRACT]
SWAN_CONTRACT = "0x91B25A65b295F0405552A4bbB77879ab5e38166c"              # Swan token's contract address
SWAN_COLLATERAL_CONTRACT = "0xC7980d5a69e8AA9797934aCf18e483EB4C986e01"   # Swan's collateral address
REGISTER_CP_CONTRACT = "0x6EDf891B53ba2c6Fade6Ae373682ED48dEa5AF48"       # The CP registration contract address
ZK_COLLATERAL_CONTRACT = "0x1d2557C9d14882D9eE291BB66eaC6c1C4a587054"     # The ZK task's collateral contract address

Note: Example WalletWhiteList hosted on GitHub can be found here.

Initialize a Wallet and Deposit Swan-ETH

Generate a new wallet address or import the previous wallet:
```
computing-provider wallet new
```
Example output:
```
0x7791f48931DB81668854921fA70bFf0eB85B8211
```
or import your own wallet:
```
# Import wallet using private key
computing-provider wallet import <YOUR_PRIVATE_KEY_FILE>
```
Note:
1. By default, the CP's repo is ~/.swan/computing, you can configure it by export CP_PATH="<YOUR_CP_PATH>"
2. <YOUR_PRIVATE_KEY_FILE> is a file that contains the private key

Deposit Swan-ETH to the wallet address:

computing-provider wallet send --from 0xFbc1d38a2127D81BFe3EA347bec7310a1cfa2373 0x7791f48931DB81668854921fA70bFf0eB85B8211 0.001

Note: Follow the guideline to claim Swan-ETH and bridge it to Swan Proxima Chain.

Initialization CP Account

Deploy a CP account contract:

computing-provider account create --ownerAddress <YOUR_OWNER_WALLET_ADDRESS> \
    --workerAddress <YOUR_WORKER_WALLET_ADDRESS> \
    --beneficiaryAddress <YOUR_BENEFICIARY_WALLET_ADDRESS>  \
    --task-types 3

Note: --task-types: Supports 4 task types (1: Fil-C2-512M, 2: Aleo, 3: AI, 4: Fil-C2-32G), separated by commas. For FCP, it needs to be set to 3. Output:

Contract deployed! Address: 0x3091c9647Ea5248079273B52C3707c958a3f2658
Transaction hash: 0xb8fd9cc9bfac2b2890230b4f14999b9d449e050339b252273379ab11fac15926

Collateral Swan-ETH for FCP

 computing-provider collateral add --fcp --from <YOUR_WALLET_ADDRESS>  <amount>

Note: Currently one AI task requires 0.01 Swan-ETH.

Start the Computing Provider

You can run computing-provider using the following command

export CP_PATH=<YOUR_CP_PATH>
nohup computing-provider run >> cp.log 2>&1 &

[OPTIONAL] Install AI Inference Dependency

It is necessary for Computing Provider to deploy the AI inference endpoint. But if you do not want to support the feature, you can skip it.

export CP_PATH=<YOUR_CP_PATH>
./install.sh

[OPTIONAL] Config and Receive UBI Tasks

Step 1: Prerequisites: Perform Filecoin Commit2 (fil-c2) ZK tasks.

Download parameters (specify path with PARENT_PATH variable):

# At least 200G storage is needed
export PARENT_PATH="<V28_PARAMS_PATH>"

# 512MiB parameters
curl -fsSL https://raw.githubusercontent.com/swanchain/go-computing-provider/releases/ubi/fetch-param-512.sh | bash

# 32GiB parameters
curl -fsSL https://raw.githubusercontent.com/swanchain/go-computing-provider/releases/ubi/fetch-param-32.sh | bash

Configure environment variables in fil-c2.env under CP repo ($CP_PATH):

FIL_PROOFS_PARAMETER_CACHE=$PARENT_PATH
RUST_GPU_TOOLS_CUSTOM_GPU="GeForce RTX 3080:8704"

Adjust the value of RUST_GPU_TOOLS_CUSTOM_GPU based on the GPU used by the CP's Kubernetes cluster for fil-c2 tasks.
For more device choices, please refer to this page:https://github.com/filecoin-project/bellperson

Step 2: Collateral Swan-ETH for receive ZK Task

computing-provider collateral add --ecp --from <YOUR_WALLET_ADDRESS>  <amount>

Note: Currently one zk-task requires 0.0005 Swan-ETH.

Example output:

0x7791f48931DB81668854921fA70bFf0eB85B8211

Step 3: Add the type of ZK task

computing-provider account changeTaskTypes --ownerAddress <YOUR_OWNER_WALLET_ADDRESS> 1,2,3,4

Note: --task-types: Supports 4 task types (1: Fil-C2-512M, 2: Aleo, 3: AI, 4: Fil-C2-32G), separated by commas. If you need to run FCP and ECP at the same time, you need to set it to 1,2,3,4

Step 4: Account Management

Use computing-provider account subcommands to update CP details:

computing-provider account -h
NAME:
   computing-provider account - Manage account info of CP

USAGE:
   computing-provider account command [command options] [arguments...]

COMMANDS:
   create                    Create a cp account to chain
   changeMultiAddress        Update MultiAddress of CP (/ip4/<public_ip>/tcp/<port>)
   changeOwnerAddress        Update OwnerAddress of CP
   changeWorkerAddress       Update workerAddress of CP
   changeBeneficiaryAddress  Update beneficiaryAddress of CP
   changeTaskTypes           Update taskTypes of CP (1:Fil-C2-512M, 2:Aleo, 3: AI, 4:Fil-C2-32G), separated by commas
   help, h                   Shows a list of commands or help for one command

OPTIONS:
   --help, -h  show help

Step 6: Check the Status of ZK task;

To check the ZK task list, use the following command:

computing-provider ubi list --show-failed

Example output:

TASK ID TASK TYPE       ZK TYPE         TRANSACTION HASH                                                        STATUS  REWARD  CREATE TIME         
2       CPU             fil-c2-512M     0xb06b3a8c2b2b96b564777a3866e27ce7c61631f77e5de3196e93eb916b0d2575      success 2.0     2024-01-20 03:30:30
33      CPU             fil-c2-512M     0x7567435e83a4a019a6356da8cf33e64a071f2d3355fce5289b9c17cf0144f282      success 2.0     2024-01-18 15:58:21
13      CPU             fil-c2-512M     0x7b3081314891aad3788c84935c67f9be0a8acc6b4fc77c5aa6fdfda728877fde      success 2.0     2024-01-20 04:27:40
238     CPU             fil-c2-512M     0xb8eb1f7b3cfc8210fa5546adc528f230241110e5cc9b4900725a9da28895aad9      success 2.0     2024-01-18 17:08:21

Restart the Computing Provider

You can run computing-provider using the following command

export CP_PATH=<YOUR_CP_PATH>
nohup computing-provider run >> cp.log 2>&1 &

CLI of Computing Provider

Check the current list of tasks running on CP, display detailed information for tasks using -v
```
computing-provider task list 
```
Retrieve detailed information for a specific task using space_uuid
```
computing-provider task get [space_uuid]
```

Delete task by space_uuid

computing-provider task delete [space_uuid]

Getting Help

For usage questions or issues reach out to the Swan team either in the Discord channel or open a new issue here on GitHub.

License

Apache

swanchain / go-computing-provider

readme

Computing Provider

Table of Content

Prerequisites

Install the Kubernetes

Install Container Runtime Environment

Option 1: Install the `Docker` and `cri-dockerd` （Recommended）

Option 2: Install the `Docker` and the`Containerd`

Optional-Setup a docker registry server

Create a Kubernetes Cluster

Install the Network Plugin

Install the NVIDIA Plugin

Install the Ingress-nginx Controller

Install and config the Nginx

Install the Hardware resource-exporter

Build and config the Computing Provider

Initialize a Wallet and Deposit Swan-ETH

Initialization CP Account

Collateral Swan-ETH for FCP

Start the Computing Provider

[OPTIONAL] Install AI Inference Dependency

[OPTIONAL] Config and Receive UBI Tasks

Step 1: Prerequisites: Perform Filecoin Commit2 (fil-c2) ZK tasks.

Step 2: Collateral Swan-ETH for receive ZK Task

Step 3: Add the type of ZK task

Step 4: Account Management

Step 6: Check the Status of ZK task;

Restart the Computing Provider

CLI of Computing Provider

Getting Help

License

swanchain / go-computing-provider

readme

Computing Provider

Table of Content

Prerequisites

Install the Kubernetes

Install Container Runtime Environment

Option 1: Install the Docker and cri-dockerd （Recommended）

Option 2: Install the Docker and theContainerd

Optional-Setup a docker registry server

Create a Kubernetes Cluster

Install the Network Plugin

Install the NVIDIA Plugin

Install the Ingress-nginx Controller

Install and config the Nginx

Install the Hardware resource-exporter

Build and config the Computing Provider

Initialize a Wallet and Deposit Swan-ETH

Initialization CP Account

Collateral Swan-ETH for FCP

Start the Computing Provider

[OPTIONAL] Install AI Inference Dependency

[OPTIONAL] Config and Receive UBI Tasks

Step 1: Prerequisites: Perform Filecoin Commit2 (fil-c2) ZK tasks.

Step 2: Collateral Swan-ETH for receive ZK Task

Step 3: Add the type of ZK task

Step 4: Account Management

Step 6: Check the Status of ZK task;

Restart the Computing Provider

CLI of Computing Provider

Getting Help

License

Option 1: Install the `Docker` and `cri-dockerd` （Recommended）

Option 2: Install the `Docker` and the`Containerd`