Compute Scheduling, Priority, and Fair Resource Allocation

EADI Token's compute scheduling system uses a multidimensional entitlement model. The valid staking tier establishes the base computing level; staking duration and compliant usage history contribute supplementary weighting; and current workload, resource costs, and fairness constraints determine the ultimate queue order. Priority is a resource-allocation entitlement, not an absolute guarantee of completion time.

ADI organizes computing capacity into four categories: shared baseline resources, institutionally contracted resources, staking-priority flexible resources, and experimental research resources. Baseline capacity supports essential services; contracted capacity meets institutional service-level commitments; flexible capacity supports additional professional research; and experimental capacity is reserved for frontier research with higher costs or uncertain outcomes. Idle capacity may be shared across pools where safety and contractual obligations permit.

When market volatility causes a surge in computing demand, the system prioritizes core risk monitoring, institutionally contracted capacity, and baseline allowances for each service tier. Flexible resources are then scheduled according to valid staking tier, staking duration, waiting time, and fair-use limits. Sustained staking may confer limited priority, but neither guarantees immediate completion nor permits long-term displacement of other users.