An Extended Technical Reference Architecture for Blockchain·IoE·6G-Enabled Adaptive Supply Chains
This extended edition of the BISS-SCM and ADST technical companion doubles the depth of the original in every chapter. It now specifies: (i) the device-tier hardware matrix down to chipsets, antenna patterns, power budgets, and onboarding protocols; (ii) the edge-tier runtime (K3s / KubeEdge / OpenYurt trade-offs, CBOR vs Protobuf serialisation benchmarks, gateway-local inference hardware); (iii) the distributed-ledger tier with PBFT message-flow internals, Hyperledger Fabric chaincode lifecycle, gas/fee economics for EVM chains, and oracle-signature aggregation patterns; (iv) the Processing Layer with production stream topologies, complete model architectures (hyperparameters included), MLOps governance artefacts, and a full smart-contract security checklist aligned to SWC / DASP top-10; (v) the Application Layer with OpenAPI 3.1 excerpts, GraphQL schemas, gRPC proto definitions, EDIFACT-to-EPCIS mapping patterns, idempotency and webhook-signature design; (vi) the Network Layer with 3GPP release feature matrices, complete 5QI tables, network-slicing SLA contracts, and MEC hardware reference.
Section 3 extends ADST with state machines and algorithms for each of the five components. Section 4 adds a protocol-by-protocol internals table. Section 5 includes complete JSON-LD and AAS-idTwin schemas per vertical. Section 6 adds failure-mode analysis and exactly-once semantics. Section 7 provides a STRIDE threat-model per layer, cryptographic-suite selection guidance, key-management ceremonies, and incident-response playbooks. Section 8 adds Prometheus instrumentation and Grafana query samples for every KPI. Section 9 supplies design tokens and a component library. Section 10 contains concrete Terraform and Helm snippets. Section 11 adds a RACI and risk register. Seven original diagrams and two new supporting figures illustrate the specification throughout.
The document’s purpose is unchanged: to translate the strategic conceptual clarity of the underlying dissertation into decisions an architect, platform engineer, data team, or auditor can action on Monday morning — now with enough depth that those decisions can survive design review.