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Mesh-Native Theory Component

Distributed Scheduling

DOSFI's distributed scheduler manages workload execution at the OS level — allocating compute, memory, and inference capacity with priority, fairness, and mesh-awareness while operating locally until nodes connect.

OS-Level Process Management

DOSFI manages workload scheduling at the OS level — processes, threads, and resources are allocated with mesh-awareness while executing locally.

Resource Allocation

Compute, memory, and inference capacity are scheduled based on local availability and declared bundle requirements. No cross-node resource claims until nodes connect.

Priority & Fairness

Workloads are scheduled with priority queues and fairness guarantees. Privacy tier and policy constraints influence scheduling order.

Local Scheduling with Mesh Awareness

The scheduler operates locally but maintains awareness of mesh topology. When nodes connect, scheduling decisions incorporate distributed capacity.

Scheduling Lifecycle

01

Bundle arrives with declared resource requirements and priority in its manifest

02

Scheduler validates requirements against local capacity and Policy Fabric constraints

03

Workload is queued with priority and fairness weighting based on privacy tier

04

Resources are provisioned locally — compute, memory, and inference capacity allocated

05

Execution begins within the provisioned environment with observability tracking

06

On completion, resources are reclaimed and the next queued workload is scheduled

DOSFI Sovereignty — Closed Core / Open Surface

DOSFI Core is sovereign and closed. All educational content on this page is generated exclusively from open-surface materials — SDKs, ABIs, documentation, tutorials, examples, and conceptual explanations. Internal details of the DOSFI Runtime, Scheduler, Router, Readiness Engine, Privacy Model, Power/Thermal Model, Vital internals, DIU internals, MNE internals, and Mesh-Native App runtime internals are not revealed, described, or inferred.

No proprietary algorithms, system code, or architectural diagrams capable of enabling replication of the DOSFI Core are published. When internal logic is referenced, only high-level conceptual explanations are provided. DOSFI's sovereignty, mission-lock, and non-replicable architecture are preserved at all times.

Part of the Mesh-Native Unifying Theory

Distributed scheduling is a core component of the Mesh-Native Unifying Theory of Distributed Intelligence.