Computational Resource Pooling Protocol

Reward Mechanics and In-House Compute Backbone

TasQ’s contributor reward framework combines precise credit issuance, verifiable proof-of-work tracking, and secure on-chain payouts. All validated compute cycles generate TasQ Credits, deployed as ERC-20 compatible tokens on Optimism, each representing confirmed computation. Credits remain non-transferable until redemption. Once contributors reach the $25 USD equivalent threshold, redemption is processed in ETH or TASQ tokens via Ethereum mainnet smart contracts. Payout authenticity is ensured through Merkle proof validation and immutable ledger entries.

Reward Calculation Table:

Task Complexity	Credits Awarded	Redemption Value (ETH)
Low (≤ 2 vCPU)	5	0.001
Medium (≤ 8 vCPU)	15	0.003
High (> 8 vCPU)	40	0.008

In-House Compute Backbone Models:

1. Dedicated Infrastructure – A planned supercomputing facility running parallelized clusters for high-throughput workloads, funded via TASQ token reserves and grants.

2. Cloud Integration – Microsoft Azure compute/storage integrated into TasQ’s proprietary scheduler with latency-aware routing, autoscaling, and workload prioritization.

System Workflow:

• Benchmarking service assigns task scores for optimal allocation.

• Consistent hashing ensures workload stability and low migration overhead.

• Rolling hash and challenge-response protocols detect tampering.

• Edge caching and compression reduce I/O latency.

Sample Azure Routing Code:

if task.priority == 'high':
    assign_to('dedicated_cluster')
else:
    assign_to('azure_pool')

Future Enhancements:

• GPU-specific task optimization for ML/AI workloads.

• Tiered credit multipliers for sustained contributor uptime.

• IPFS/Filecoin redundancy for distributed storage.

• Self-hosted Ethereum staking pools tied to TasQ node operations.