Patent 8370416

Derivative works

Defensive disclosure: derivative variations of each claim designed to render future incremental improvements obvious or non-novel.

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Derivative works

Defensive disclosure: derivative variations of each claim designed to render future incremental improvements obvious or non-novel.

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Defensive Disclosure for U.S. Patent 8,370,416: Compatibility Enforcement in Clustered Computing Systems

Publication Date: April 26, 2026
Disclosing Entity: Advanced Computing Research Consortium
Reference: DDC-2026-0426-001

Abstract: This document discloses multiple derivative implementations and novel applications of the core concepts described in U.S. Patent 8,370,416. The purpose of this disclosure is to place these variations into the public domain, thereby establishing prior art against future patent claims for incremental improvements in the field of compatibility and license enforcement in distributed and clustered computing environments. The disclosed variations cover alternative materials and components, expanded operational parameters, cross-domain applications, integration with emerging technologies, and failure-mode operations.


Analysis of Core Claim (Based on Independent Claim 1 of US 8,370,416)

Core Concept: A method for creating a clustered computing system by storing license information, which includes a 'bundle-type' parameter (defining cluster size and other characteristics) and node-specific license parameters, on a computing node. The process involves initializing a cluster with a first node, adding subsequent nodes, and activating the cluster only when the number of nodes complies with the 'bundle-type' parameter.


Derivative Disclosures

I. Material & Component Substitution

Derivative 1.1: Ferroelectric RAM (F-RAM) for License Storage

  • Enabling Description: Instead of conventional non-volatile memory (NVM) like Flash or EEPROM for storing the bundle-type and node license parameters, this variation utilizes Ferroelectric RAM (F-RAM). F-RAM offers significantly higher write endurance and lower power consumption. The license information, including the cluster's Right-to-Use (RTU) token and the pool of node licenses, is written to a dedicated F-RAM module (e.g., a Cypress/Infineon EXCELON™ F-RAM) on each node's controller board. The low latency of F-RAM allows for near-instantaneous license verification during node boot-up and cluster formation, reducing the overall time to cluster activation. The cluster creation module (create cluster module 412) is modified to interface with the F-RAM controller via an SPI or I2C bus, ensuring atomic write operations for license branding to prevent corruption.
  • Mermaid Diagram:
    graph TD
        A[External License Server] -->|License Key| B(Management Module);
        B -->|RTU Token & Node Licenses| C{Node Controller};
        C -->|Write via SPI/I2C| D[F-RAM Module];
        E[Cluster Initialization] --> F{Read License from F-RAM};
        F --> G{Verify Bundle-Type Compliance};
        G -->|Compliant| H[Activate Cluster];
        G -->|Non-compliant| I[Inhibit Node Join];
    

Derivative 1.2: System-on-a-Chip (SoC) with Integrated Secure Enclave

  • Enabling Description: This variation implements the node and cluster logic on a System-on-a-Chip (SoC) that contains a hardware-based secure enclave (e.g., ARM TrustZone or a dedicated security co-processor). The license information (bundle-type, node license pool) is stored within this encrypted, tamper-resistant enclave. The create cluster module, add node module, and all license verification logic execute within this secure environment. Any attempt to access or modify the license data from the non-secure part of the SoC is cryptographically denied. This provides a robust defense against "gray market" nodes where license data might be illicitly copied or modified, as the unique hardware-backed keys within the enclave cannot be cloned. Communication between enclaves on different nodes for cluster formation is established via a mutually authenticated TLS channel, using certificates rooted in the secure hardware.
  • Mermaid Diagram:
    sequenceDiagram
        participant NodeA as Node A (SoC)
        participant NodeB as Node B (SoC)
        NodeA->>NodeA: Secure Enclave: Load License Info
        NodeB->>NodeB: Secure Enclave: Load License Info
        NodeA->>NodeB: Initiate Secure Handshake (TLS)
        Note over NodeA, NodeB: Authentication via Hardware-rooted Certificates
        NodeB-->>NodeA: Handshake Complete
        NodeA->>NodeB: Request to Join Cluster (inside TLS)
        NodeB-->>NodeA: Verify Node A's License Brand (inside Enclave)
        NodeB-->>NodeA: Approve Join & Update Cluster State
    

II. Operational Parameter Expansion

Derivative 2.1: Hyperscale Datacenter License Enforcement

  • Enabling Description: The system is scaled to manage licensing for a hyperscale computing cluster comprising over one million nodes distributed across multiple geopolitical regions. The "bundle-type" parameter is extended to include geo-fencing rules and data residency requirements (e.g., GDPR compliance). A central, highly-available license server (external license server 460) is replaced with a distributed ledger (blockchain) or a globally replicated database (e.g., Google Spanner) to manage the Right-to-Use licenses and node license pools. When a new rack of servers (nodes) is provisioned, the add node module on a regional cluster manager queries this distributed ledger to acquire and "brand" the nodes. The activation process (activating the computing cluster) is hierarchical; sub-clusters are activated locally, and the global cluster state is only validated once a quorum of regional clusters meets the global "bundle-type" specifications.
  • Mermaid Diagram:
    graph TD
        subgraph Global
            A[Distributed License Ledger];
        end
        subgraph Region_US
            B[US Cluster Manager] --> C{US Sub-cluster};
        end
        subgraph Region_EU
            D[EU Cluster Manager] --> E{EU Sub-cluster};
        end
        subgraph Region_APAC
            F[APAC Cluster Manager] --> G{APAC Sub-cluster};
        end
        B -- Query/Update --> A;
        D -- Query/Update --> A;
        F -- Query/Update --> A;
        C -- Activate --> H((Global Cluster Activation));
        E -- Activate --> H;
        G -- Activate --> H;
    

Derivative 2.2: Nanoscale Molecular Computing Cluster

  • Enabling Description: The principles are applied to a theoretical nanoscale computing cluster where individual "nodes" are complex molecules or quantum dots capable of computation and state storage. License information is encoded in the molecular structure or quantum state of a designated "license molecule." The "bundle-type" parameter dictates the maximum number of computational molecules that can form a stable, functional cluster for a specific task (e.g., drug simulation). "Adding a node" involves a chemical or quantum-mechanical interaction that binds a new computational molecule to the cluster. The cluster "activates" (i.e., begins its computation) only when the energy state of the entire molecular assembly corresponds to a valid, licensed configuration. An invalid configuration (too many or incompatible molecules) results in an unstable, non-functional state.
  • Mermaid Diagram:
    stateDiagram-v2
        [*] --> Unformed
        Unformed --> Initialized: Add License Molecule
        Initialized --> Building: Add Computational Molecule
        Building --> Building: Add more molecules
        Building --> Activated: Node count complies with Bundle-Type
        Activated --> [*]: Computation Complete
        Building --> Unstable: Node count exceeds Bundle-Type
        Unstable --> [*]: Cluster Disassociates
    

III. Cross-Domain Application

Derivative 3.1: Aerospace - Federated Satellite Constellation Management

  • Enabling Description: A constellation of satellites from different manufacturers and operators forms a federated cluster for Earth observation. Each satellite is a "node." The license information stored on each satellite's flight computer dictates its participation rights. The bundle-type parameter defines characteristics of the federated service, such as the minimum number of satellites required for 24/7 global coverage (size), the required sensor types (additional bundle-type characteristic), and data sharing permissions. When a ground station commands the formation of a new imaging cluster for a specific mission, satellites are added. The cluster activates—begins coordinated data acquisition and transmission—only when satellites with compatible licenses and capabilities form a compliant group. This prevents unauthorized use of high-resolution sensors or the formation of a cluster that violates international data sharing agreements.
  • Mermaid Diagram:
    flowchart LR
        A[Ground Station] -- Command --> B{Cluster Formation Request};
        B -- Polls Satellites --> C[Sat-A (Node)];
        B -- Polls Satellites --> D[Sat-B (Node)];
        B -- Polls Satellites --> E[Sat-C (Node)];
        C -- Reports License --> B;
        D -- Reports License --> B;
        E -- Reports License --> B;
        B -- Verifies Bundle Compliance --> F{Compliant?};
        F -- Yes --> G[Activate Coordinated Imaging];
        F -- No --> H[Reject Cluster Formation];
    

Derivative 3.2: AgTech - Autonomous Drone Swarm Licensing

  • Enabling Description: A farmer purchases a "bundle" license for a swarm of autonomous agricultural drones. Each drone is a "node." The license, stored in the drone's non-volatile memory, specifies a bundle-type for "Crop Dusting - 5 Drones Max" or "Soil Analysis - 10 Drones Min." When a task is initiated from a central controller (e.g., a tablet), it attempts to form a cluster of available drones. The add node module ensures only drones with the correct bundle-type brand can join. The swarm (computing cluster) activates its task (e.g., begins spraying) only when the number of connected drones is within the licensed range. This allows manufacturers to sell scalable solutions and prevents the unauthorized use of a small, low-cost swarm for a large-scale operation that requires a more expensive license.
  • Mermaid Diagram:
    erDiagram
        FARMER ||--o{ DRONE : "owns"
        DRONE {
            string DroneID
            string LicenseBrand
        }
        FARMER ||--|{ LICENSE : "purchases"
        LICENSE {
            string BundleType
            int MinNodes
            int MaxNodes
        }
        DRONE }o--|| CLUSTER : "joins"
        CLUSTER {
            string TaskID
            string RequiredBundleType
            int CurrentNodeCount
        }
    

Derivative 3.3: Consumer Electronics - Smart Home Ecosystem Control

  • Enabling Description: A premium smart home ecosystem (e.g., for security or energy management) requires a license to function. The central hub is the first computing node. Other smart devices (locks, cameras, thermostats) are additional nodes. The bundle-type dictates the tier of service, e.g., "Gold Security Bundle" allows up to 10 cameras and 4 smart locks. When a new device is added to the home network, the hub attempts to add it to the security cluster. It checks the device's compatibility and the total node count against the bundle license. The premium features (computing cluster) like coordinated video recording or AI-based threat detection are only activated if the number and type of devices comply with the license. If a user adds an 11th camera, it may function in a basic, standalone mode but will not be integrated into the licensed premium security service.
  • Mermaid Diagram:
    graph TD
        A[User adds new Smart Camera] --> B{Smart Hub};
        B --> C{Check current Node Count};
        C --> D{Count < MaxNodes?};
        D -- Yes --> E{Add Camera to Cluster};
        E --> F[Activate Premium AI Security Feature];
        D -- No --> G{Add Camera in Standalone Mode};
        G --> H[Notify User: License Limit Exceeded];
    

IV. Integration with Emerging Tech

Derivative 4.1: AI-Driven Predictive License Allocation

  • Enabling Description: An AI model running on the management module (management module 450) analyzes historical cluster usage patterns, resource demands, and task schedules. It predicts future needs for cluster expansion or contraction. Based on these predictions, it proactively requests new node license parameters from the external license server before they are actually needed, minimizing delays in scaling up. The bundle-type is dynamically adjusted by the AI to optimize cost versus performance. For example, if the AI predicts a high-demand period, it might automatically upgrade the Right-to-Use license to a larger bundle-type for 24 hours and then downgrade it to save costs.
  • Mermaid Diagram:
    sequenceDiagram
        participant AI as AI Model
        participant Manager as Management Module
        participant Server as External License Server
        loop Usage Analysis
            AI->>Manager: Analyze Cluster Metrics
        end
        AI->>Manager: Predict Future Demand Spike
        Manager->>Server: Request Temporary License Upgrade
        Server-->>Manager: Issue Upgraded RTU Token
        Manager->>Manager: Apply New Bundle-Type to Cluster
    

Derivative 4.2: IoT Sensor-Based Compliance Monitoring

  • Enabling Description: Each computing node is equipped with IoT sensors that monitor physical and operational parameters like temperature, power consumption, and chassis intrusion. This sensor data is cryptographically signed and streamed to the cluster module. The bundle-type parameter is extended to include operational compliance rules (e.g., "must operate below 80°C"). The license check process (FIG. 6) is triggered not just periodically, but also in real-time when a sensor reports an anomaly. If a node violates the operational parameters defined in the license (e.g., it is overclocked and overheating), its license status is flagged as non-compliant, and the error routine can quarantine the node or throttle its performance until it returns to a compliant state.
  • Mermaid Diagram:
    flowchart TD
        A[IoT Sensor on Node] -- Temp > 80°C --> B{Real-time Anomaly Event};
        B --> C{Trigger License Check};
        C --> D{Is Node violating operational license?};
        D -- Yes --> E[Invoke Error Routine];
        E --> F[Quarantine Node];
        D -- No --> G[Continue Normal Operation];
    

Derivative 4.3: Blockchain for Immutable License Provenance

  • Enabling Description: The entire lifecycle of a license—from creation by the vendor to assignment to a cluster and "branding" onto a node—is recorded as a series of transactions on a private blockchain (e.g., using Hyperledger Fabric). The Right-to-Use license 422 and node license pool 424 are represented as non-fungible tokens (NFTs) on the ledger. When a cluster is created, the management module transfers the NFT representing the base licenses to a smart contract that governs the cluster. Adding a node involves the smart contract assigning a specific node license NFT to the node's unique public key. This creates an unchangeable, auditable trail of license ownership and assignment, completely eliminating the possibility of "gray market" nodes by ensuring every node's license can be traced back to a legitimate origin on the blockchain.
  • Mermaid Diagram:
    graph LR
        A[Vendor Mints License NFT] --> B(License Ledger);
        C[Customer Buys License] --> D{Transfer NFT to Customer Wallet};
        D --> E[Customer Deploys Cluster];
        E --> F{Cluster Smart Contract};
        F -- Assigns --> G[Node A gets License Token];
        F -- Assigns --> H[Node B gets License Token];
        B <--> F;
    

V. The "Inverse" or Failure Mode

Derivative 5.1: Graceful Degradation on License Incompatibility

  • Enabling Description: Instead of the error routine completely inhibiting the operation of a non-compliant node, this variation places the node into a "gracefully degraded" state. If a license check fails (e.g., an expired license or incompatible brand-type), the cluster module restricts the node's capabilities. For instance, a storage node might be limited to read-only operations, or a compute node might be restricted to running only low-priority, non-critical workloads. The node remains part of the cluster's management domain, allowing an administrator to remotely diagnose the issue and apply a valid license without physical intervention. This ensures partial system availability instead of complete node failure.
  • Mermaid Diagram:
    stateDiagram-v2
        state "Fully Functional" as Active
        state "Degraded Mode" as Degraded
        [*] --> Active: License Valid
        Active --> Degraded: License Check Fails
        Degraded --> Active: New License Applied
        Active --> [*]: Node Decommissioned
        Degraded --> [*]: Node Decommissioned
    

Combination Prior Art Scenarios

  1. Combination with OPC UA (Open Platform Communications Unified Architecture): The compatibility enforcement method of US 8,370,416 is integrated into an industrial control system (ICS) environment using the OPC UA standard. The "nodes" are programmable logic controllers (PLCs) or industrial PCs. The "bundle-type" license, stored on an OPC UA server, defines the number and type of devices (e.g., "Motor Drive," "Robot Arm") that can participate in a coordinated manufacturing process ("cluster"). When a new PLC is added to the network, it uses the OPC UA discovery and security models to connect to the server. The server, implementing the patent's add node logic, verifies the PLC's license against the process bundle-type before allowing it to subscribe to real-time process data, thereby preventing unauthorized or misconfigured devices from disrupting a production line.

  2. Combination with OpenAPI Specification: A microservices-based cloud application uses the OpenAPI Specification to define its inter-service communication. Each microservice instance is a "node." The license information, managed by an API Gateway, functions as the cluster module. The bundle-type is defined in a custom section of the OpenAPI document (e.g., x-license-bundle) and specifies the maximum number of instances for a given service tier (e.g., "Free Tier: 2 instances," "Pro Tier: 10 instances"). When a service attempts to scale up, the API Gateway intercepts the orchestration command (e.g., from Kubernetes), checks the current instance count against the bundle-type in the OpenAPI definition, and only allows the new instance to be added and activated if it complies with the license.

  3. Combination with Hyperledger Besu: The license management system is built as a decentralized application (DApp) on a Hyperledger Besu blockchain, which is an Ethereum client designed for enterprise use. The license information is encoded in an ERC-1155 multi-token smart contract, where each token ID represents a different bundle-type or node license parameter. A company can purchase a set of these tokens. To create a cluster, the first computing node calls a function on the smart contract, locking the main bundle-type token. To add other nodes, the contract requires the transfer of a node license token from the company's wallet to the node's address. The cluster activates once the smart contract's state reflects the correct number of locked node tokens corresponding to the main bundle token's rules, creating a fully transparent, auditable, and decentralized license enforcement mechanism.

Generated 5/12/2026, 11:43:32 PM