farhanajaved / SLA-assement

This is dedicated to SLA assessment for inter-provider agreements using smart contracts

SLA Assessment

Description

This project aims to provide a comprehensive framework for Service Level Agreement (SLA) assessment. It employs a hybrid model combining Quadratic and History-Based Penalties to offer a balanced and adaptive response to SLA violations.

Installation

Prerequisites

• Python 3.6 or above
• Brownie
• Ganache
• Node.js and npm

Installation Steps

1. Clone the repository:

   git clone https://github.com/farhanajaved/SLA-assement.git

2. Navigate to the project directory:

   cd SLA-assement

3. Install Python dependencies:

   pip install -r requirements.txt

4. Install Brownie if you haven't:

   pip install eth-brownie

5. Download and install Ganache:

   • You can download it from here.
   • Run Ganache and create a workspace with 55 accounts.

6. Add a custom network in Brownie if needed:

   brownie networks add Ethereum ganache-local host=http://localhost:7545 chainid=1337

7. Compile contracts:

   brownie compile

8. Run tests to make sure everything is set up correctly:

   brownie test

Usage

1. Deploy contracts:

   brownie run deploy --network ganache-local

2. Execute specific scripts or interact as needed.

Contributing

Contributions are welcome! Please create an issue or submit a pull request.

License

This project is licensed under the MIT License.

Billing 4 has TPS and latencies. Billing 5 has costs.

marketplace_comp for TPS marketplace_eth_matic for cost analysis.

totalpenaltyplots.py is the total breahes penaltyplots.py is the num of users