Routing Policy Scoring
The scoring function: trust score, geo-compliance, capacity, latency, and operator preferences.
About this course
Vertical stack context: DOSFIUniversity (research) → DOSFI Academy (this course) → MeshNativeExchange (publishing & monetizing). Students progress from Learning → Building → Publishing → Monetizing. Routing in the Transport Layer is a deterministic scoring problem. This module specifies the routing scoring function over five factors: trust score, geo-compliance, capacity, latency, and operator preferences. The function selects the highest-scoring viable path that satisfies the Privacy envelope. Weights are published and auditable. This module provides an in-depth exploration of Routing Policy Scoring within the DOSFI Mesh-Native ecosystem, focusing on how Distribution Intelligence Units (DIUs) evaluate and select optimal transport paths based on various policy criteria. Embedded within the Transport Architecture, this course emphasizes deterministic decision-making, subsystem interactions, and deterministic workflows to ensure efficient and privacy-aware routing at the agent tier.
What you'll build
- Analyze the architecture of Routing Policy Scoring in DOSFI.
- Implement custom Routing Policies and evaluate their effectiveness.
- Understand the interaction between State Machines and the Transport Layer in routing decisions.
- Assess the impact of Privacy Tiers and Identity Fabric on routing outcomes.
Prerequisites
- Fundamental understanding of DOSFI architecture
- Knowledge of Mesh-Native Transport Layer protocols
- Familiarity with MeshInfer and MNE (MeshNativeExchange)
- Basic concepts of Distributed Intelligence Units (DIUs)