Penalty Mechanism
Paraverse employs a consensus mechanism called Proof of Rendering to ensure network security and reliability. Miners participate in the Paraverse network by executing rendering tasks and validating blocks, earning corresponding rewards. However, failure to comply with network rules will result in penalties.
Miner Standby Stability Violations
To maintain network stability, reduce fluctuations, and ensure high-quality and efficient rendering tasks, miners must keep their mining machines stable while in standby mode. This prevents task delays or errors that could impact user experience and network performance. The mechanism aims to eliminate unstable mining machines, enhance user trust, protect user interests and data security, and improve overall satisfaction.
Unstable Server Uptime: Miners must maintain a stable online status within a specified timeframe. Frequent disconnections will result in penalties:
If a miner’s machine disconnects more than 3 times within 48 hours, rendering tasks will be suspended for 10 minutes.
If a miner’s machine disconnects more than 6 times within 48 hours, rendering tasks will be suspended for 30 minutes, and 1 staked token will be deducted.
If a miner’s machine disconnects more than 9 times within 48 hours, rendering tasks will be suspended for 24 hours, and 2 staked tokens will be deducted.
Unstable Server Performance: Miners must maintain consistent system performance. Frequent GPU changes will result in penalties:
If a miner changes the GPU once within 48 hours, rendering tasks will be suspended for 24 hours, and 2 staked tokens will be deducted.
If a miner changes the GPU twice within 48 hours, rendering tasks will be suspended for 72 hours, and 3 staked tokens will be deducted.
Miner Contract Violation
Rendering Task Completion Integrity: Once a miner receives a rendering task, it must be completed without interruption until the user closes the application.
If the rendering process is disrupted due to a miner's failure or disconnection, affecting user experience, the rendering task allocation will be suspended for 10 minutes.
User-Reported Rendering Issues: If a user reports issues related to rendering quality after task completion, the system will evaluate the report based on the user's description.
Minor impact on rendering quality → Rendering task allocation will be suspended for 10 minutes.
Severe impact on rendering quality → Rendering task allocation will be suspended for 30 minutes, and 1 staked token will be deducted.
Resource Abuse During Rendering Tasks: If a miner abuses network resources, maliciously occupies excessive computing power or storage, it can disrupt task allocation and reduce overall rewards.
Minor impact on rendering quality → Rendering task allocation will be suspended for 30 minutes, and 1 staked token will be deducted.
Severe impact on rendering quality → rendering task allocation will be suspended for 24 hours, and 2 staked tokens will be deducted.
Impact of Violations on Rendering Rewards
In the Paraverse network, we prioritize ensuring that miners provide high-quality rendering services and maintain a positive user experience. To achieve this goal, we enforce strict GPU and CPU usage restrictions. If, during a rendering task, either through user reports or system detection, a miner is found to have intentionally used GPU and CPU for non-rendering operations exceeding the predefined thresholds, it will be considered a violation, and a portion of the miner's rendering rewards will be deducted according to network rules. Through this approach, we aim to encourage miners to focus on rendering tasks, provide high-quality rendering services, prevent resource abuse, and ensure the stable operation of the network and user satisfaction. Criteria for rendering reward deduction:
Monitoring detects that non-rendering applications occupy more than 15% of GPU usage.
Monitoring detects that non-rendering applications occupy more than 20% of CPU usage.
Upon detecting and determining that a miner has engaged in resource abuse violations during a rendering task, rendering reward deductions will be calculated based on the impact on rendering quality. The variables considered include packet loss rate, rendering frame rate, peak signal-to-noise ratio, and structural similarity index. When these variables meet the following criteria, a penalty will be imposed:
The packet loss rate exceeds 1%.
The rendering frame rate falls below 15 FPS.
Peak Signal-to-Noise Ratio (PSNR) falls below 30dB.
Structural Similarity Index (SSIM) is outside the range of [-0.9, 0.9].
Severe Malicious Violations
Malicious Attack Penalty: For actions involving deliberate malicious attacks, attempts to compromise network security, or interference with the normal operations of other miners, the Paraverse network will impose severe penalties. Offenders will be permanently banned from executing rendering tasks and will face legal action to ensure network security and stability.
Consensus Rule Violation Penalty: If a miner is found to have violated consensus rules—such as conducting double-spending attacks, Sybil attacks, fork attacks, transaction record tampering, or other malicious violations—the Lark Network will permanently disable the node with no possibility of reinstatement.
Deliberate Submission of False Data Penalty: Data accuracy is a crucial element in a decentralized rendering network. To protect the reliability and stability of the network, miners who intentionally submit false data will negatively impact the entire system, making it impossible to ensure that network tasks are processed as expected. Unfair gains from such actions undermine the fairness and transparency of the network ecosystem. As a result, the Lark Network will permanently disable the offending node with no possibility of reinstatement.
These penalty measures are designed to uphold the security, fairness, and efficiency of the network, encouraging all Paraverse network participants to follow the rules, provide valid computational results, and ensure the smooth operation of the network while maintaining user trust. Additionally, the network includes an appeal mechanism to safeguard users' legal rights, allowing them to file complaints and receive fair treatment in cases of unjust penalties or wrongful accusations.
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