Derivative works — US Patent 7519814

Defensive Disclosure and Prior Art Derivations for Containerization Systems

Publication Date: May 14, 2026
Subject: Derivatives and obvious variations of technologies described in US Patent 7,519,814. This document is intended to enter the public domain as prior art.

Claim 1 Derivations: Variations on the Method of Containerization

Axis 1: Component & Architecture Substitution

1. Derivative: User-Space System Call Interception via Dynamic Binary Instrumentation

Enabling Description: This method achieves application isolation without a kernel-mode "run time module." Instead, a user-space daemon pre-processes the application's executable binary before execution. It uses dynamic binary instrumentation (DBI) frameworks like PIN or Valgrind to inject interception logic directly into the application's process space at runtime. When the application makes a system call, the injected code executes first. This code can rewrite arguments or redirect calls to a user-space container management daemon that emulates the desired isolated environment (e.g., provides a container-specific hostname or redirects file access to a container image). This avoids the security risks and performance overhead of a custom kernel module and is portable across any kernel version that supports the underlying ptrace mechanism. The container filesystem is mounted via FUSE (Filesystem in Userspace), with the management daemon serving as the FUSE driver.

Diagram:

sequenceDiagram
    participant App as Application Process
    participant DBI as DBI Framework (in-process)
    participant MgmtDaemon as Container Management Daemon (user-space)
    participant Kernel

    App->>DBI: Makes syscall (e.g., uname())
    DBI->>MgmtDaemon: Intercepts call, forwards to Daemon
    Note over MgmtDaemon: Looks up container-specific hostname
    MgmtDaemon-->>DBI: Returns spoofed hostname
    DBI-->>App: Returns spoofed data to application
    Note over App: Application receives container identity, not host's

2. Derivative: Copy-on-Write (CoW) Layered Filesystems with Object Storage Backends

Enabling Description: The "container" is not a monolithic collection of files but a set of layered, read-only filesystem images stored in a content-addressable object store (e.g., an S3-compatible system). When a container is instantiated, a union filesystem (like OverlayFS) is constructed. It layers a new, writable empty directory over the read-only base layers pulled from object storage. All writes from the application are captured in this top writable layer (the "copy-on-write" layer), which resides on local storage. The base images are immutable and can be shared and deduplicated across thousands of containers, drastically reducing storage footprint and container startup time, as only the writable layer needs to be created, not a full copy of all system files.

Diagram:

graph TD
    subgraph Container View
        A[Unified Mount Point: /]
    end

    subgraph Filesystem Layers
        B(Writable Layer <br/><i>Container-specific, ephemeral</i>)
        C(App Layer <br/><i>Read-only, from Object Store</i>)
        D(System Libs Layer <br/><i>Read-only, from Object Store</i>)
        E(Base OS Layer <br/><i>Read-only, from Object Store</i>)
    end

    B --OverlayFS--> A
    C --OverlayFS--> A
    D --OverlayFS--> A
    E --OverlayFS--> A

    F[Object Storage <br/><i>(e.g., Ceph, S3)</i>]
    F --pulls layers--> C
    F --pulls layers--> D
    F --pulls layers--> E

Axis 2: Operational Parameter Expansion

3. Derivative: Hard Real-Time Deterministic Containerization for Avionics

Enabling Description: This system is designed for a real-time operating system (RTOS) with POSIX PSE53/ARINC 653 compliance. The "container" is a time-and-space partitioned execution environment. The "run time module" is a partitioning microkernel or hypervisor that enforces a fixed, cyclic execution schedule. Each container is allocated a specific time window (e.g., 20ms every 100ms cycle) on a specific CPU core. All memory is pre-allocated, and system calls for dynamic memory allocation are forbidden or strictly limited. The interceptor validates that system calls (e.g., for IPC) only target other processes within the same partition or approved ARINC 653 ports, ensuring a fault in a low-criticality container (e.g., cabin climate control) cannot impact a high-criticality one (e.g., flight guidance).

Diagram:

stateDiagram-v2
    direction LR
    [*] --> Core1_Execution
    
    state Core1_Execution {
        direction TB
        state "Container_A (20ms)" as C_A
        state "Container_B (50ms)" as C_B
        state "Kernel_Idle (30ms)" as K_I
        
        [*] --> C_A
        C_A --> C_B : Time window expires
        C_B --> K_I : Time window expires
        K_I --> C_A : Major frame cycle repeats
    }

    note right of Core1_Execution
        Major Frame: 100ms
        Container A: Flight Guidance (Critical)
        Container B: Navigation Display (Essential)
        Kernel Idle: System Maintenance
        The "run time module" is the cyclic scheduler.
    end note

Axis 3: Cross-Domain Application

4. Derivative: Containerized Genomic Analysis Pipelines in Bio-Informatics

Enabling Description: A complex genomic sequencing and analysis workflow, consisting of multiple tools (e.g., BWA for alignment, GATK for variant calling), is packaged into a single "secure container." This container includes not just the specific versions of the executable tools but also all their specific dependencies (e.g., Python 2.7, specific R libraries, Samtools). This ensures that a pipeline developed in 2024 produces the exact same results when run on a different server in 2026, guaranteeing scientific reproducibility. The "run time module" intercepts system calls to redirect large data file I/O to a high-performance parallel filesystem (like Lustre or GPFS) and provides a unique identity that is used to tag all output data for provenance tracking.

Diagram:

flowchart TD
    subgraph Genomics Container
        A(bwa-mem) --BAM file--> B(samtools)
        B --Sorted BAM--> C(GATK HaplotypeCaller)
        C --VCF file--> D(Annotation Script)
    end
    
    subgraph Host System
        E(Container Runtime)
        F(Lustre Filesystem)
        G(Host Kernel)
    end

    E --manages--> Genomics Container
    A --write() syscall--> G
    B --write() syscall--> G
    C --write() syscall--> G
    D --write() syscall--> G

    G --intercepted by runtime--> F
    note on G: System call interceptor redirects all I/O from container to /lustre/job_id/

Axis 4: Integration with Emerging Tech

5. Derivative: AI-Optimized Resource Scheduling and Security Threat Detection

Enabling Description: The "run time module" is extended with a machine learning inference engine (e.g., running a lightweight neural network). It continuously samples system call traces (call type, frequency, arguments, return values) from each container and feeds this data into two models.
1. QoS Model: Predicts near-term CPU, memory, and I/O demand, dynamically adjusting the container's cgroup limits to proactively prevent resource starvation or contention between containers.
2. Security Model: A pre-trained anomaly detection model identifies deviations from the container's normal system call pattern. If a deviation is detected (e.g., unexpected network connections, file access to /etc/shadow), the module can automatically quarantine the container by applying restrictive seccomp filters and network firewalls.

Diagram:

graph TD
    A[Container #1] --Syscall Trace--> B{Run Time Module};
    C[Container #2] --Syscall Trace--> B;

    subgraph B
        D[Syscall Interceptor];
        E[ML Inference Engine];
        F[Resource Controller <br/> (cgroups)];
        G[Security Controller <br/> (seccomp)];
        D --> E;
        E --QoS Prediction--> F;
        E --Anomaly Score--> G;
    end

    F --adjusts limits--> A;
    F --adjusts limits--> C;
    G --quarantines on alert--> A;

Axis 5: The "Inverse" or Failure Mode

6. Derivative: Graceful Degradation Container for Low-Power IoT Edge Devices

Enabling Description: A container running on a battery-powered device (e.g., a remote sensor) is designed for graceful degradation. The host OS notifies the "run time module" of changes in power state (e.g., battery < 20%). The module then activates a "degradation policy." It intercepts system calls and injects faults or modifies parameters. For example, send() calls are throttled to reduce network radio usage, fsync() calls are converted to no-ops to minimize flash writes, and nanosleep() requests are artificially lengthened to reduce CPU wake-ups. This forces the application into a low-fidelity but still-functional state, preserving battery life for critical functions.

Diagram:

sequenceDiagram
    participant HostOS
    participant RuntimeModule as Run Time Module
    participant App as Application
    
    HostOS->>RuntimeModule: Event: Battery Level < 20%
    RuntimeModule->>RuntimeModule: Activate "Low Power" Policy
    
    loop Application Logic
        App->>RuntimeModule: syscall: send(data)
        RuntimeModule->>RuntimeModule: Apply Throttling (add delay)
        RuntimeModule->>App: return success (delayed)
        
        App->>RuntimeModule: syscall: nanosleep(10ms)
        RuntimeModule->>RuntimeModule: Lengthen sleep to 50ms
        RuntimeModule->>App: return success (after 50ms)
    end loop

Claim 2 Derivations: Variations on the Containerization System

Axis 1: Component & Architecture Substitution

7. Derivative: eBPF-Based Runtime Module for In-Kernel Monitoring and Control

Enabling Description: The "run time module" is not a loadable kernel module but is instead implemented as a suite of eBPF (extended Berkeley Packet Filter) programs attached to kernel tracepoints and kprobes. These eBPF programs run in a sandboxed in-kernel VM, providing a safe and performant way to intercept events. An eBPF program attached to the sys_enter tracepoint can inspect system calls from processes belonging to a container's cgroup. It can read container-specific configuration from eBPF maps (key-value stores) to enforce resource limits or return spoofed data by modifying register values before the actual system call executes. This architecture is upgradable without rebooting the host and is a standard feature in modern Linux kernels.

Diagram:

classDiagram
    direction LR
    class UserSpaceController {
      +load_bpf_programs()
      +update_bpf_maps(container_id, config)
    }
    class Kernel {
      <<eBPF VM>>
      +kprobe__sys_uname()
      +tracepoint__sys_enter()
    }
    class BpfMap_ContainerConfig {
      <<key-value>>
      key: cgroup_id
      value: hostname, ip_addr
    }
    class BpfMap_ResourceUsage {
      <<key-value>>
      key: cgroup_id
      value: cpu_cycles, mem_bytes
    }

    UserSpaceController -- Manages --> Kernel
    Kernel -- Reads/Writes --> BpfMap_ContainerConfig
    Kernel -- Reads/Writes --> BpfMap_ResourceUsage
    note for Kernel "eBPF programs run here, triggered by syscalls"

Axis 3: Cross-Domain Application

8. Derivative: Sandboxed Container System for In-Vehicle Infotainment (IVI)

Enabling Description: An automotive-grade Linux system running on a vehicle's head unit uses containerization to isolate third-party applications (e.g., media players, navigation apps). Each application is delivered as a container image. The "run time module" is integrated with the vehicle's CAN (Controller Area Network) bus gateway. It uses system call interception to enforce a strict security policy: only the container designated as the "Navigation App" is allowed to make system calls that access the GPS device file (/dev/gnss0), and no third-party container is allowed to make ioctl() calls to the CAN bus driver, preventing a compromised music app from sending malicious commands to vehicle control systems like braking or steering. Each container is given a unique identity on the vehicle's internal Ethernet network.

Diagram:

flowchart LR
    subgraph IVI Head Unit
        A[Music App Container] --syscall--> B{Run Time Module}
        C[Nav App Container] --syscall--> B
        D[HVAC UI Container] --syscall--> B
    end
    
    subgraph Vehicle Hardware
        E[CAN Bus]
        F[GPS Device]
        G[Audio DAC]
    end

    B -- Denies Access --> E
    B -- Grants Access to C only --> F
    B -- Grants Access --> G
    
    style A fill:#f9f,stroke:#333,stroke-width:2px
    style C fill:#ccf,stroke:#333,stroke-width:2px
    style D fill:#cfc,stroke:#333,stroke-width:2px

Axis 4: Integration with Emerging Tech

9. Derivative: Container Identity Management via SPIFFE/SPIRE for Zero-Trust Networking

Enabling Description: The "unique identity" of a container (IP address, hostname) is augmented with a strong cryptographic identity based on the open SPIFFE standard. A SPIRE agent daemon runs on the host server. The "run time module" intercepts a container's startup process. After the container's primary process is launched, the module queries the SPIRE agent to attest the container's identity (based on its file hashes, parent process, etc.). Upon successful attestation, the SPIRE agent provisions a unique, short-lived X.509 certificate (an SVID) into the container's memory via a shared volume. The application within the container can then use this certificate to establish mutually authenticated TLS (mTLS) connections with other services, creating a zero-trust network where identity is cryptographically proven rather than inferred from an IP address.

Diagram:

sequenceDiagram
    participant App as Application Process
    participant RuntimeModule as Run Time Module
    participant SpireAgent as SPIRE Agent (Host)
    participant SpireServer as SPIRE Server (Cluster)

    RuntimeModule->>App: Start application process
    RuntimeModule->>SpireAgent: Request attestation for new process
    SpireAgent->>SpireServer: Attest workload identity
    SpireServer-->>SpireAgent: Attestation successful, issue SVID
    SpireAgent->>RuntimeModule: Provide SVID (X.509 Certificate)
    RuntimeModule->>App: Mount SVID into container's filesystem
    App->>App: Load SVID for mTLS connections

Combination Prior Art Scenarios

10. Combination: OCI-compliant Containers with seccomp-bpf Runtime Module

Enabling Description: This system combines the containerization concept with the open standards established by the Open Container Initiative (OCI). The "container" is an OCI-compliant filesystem bundle. The "run time module" is implemented entirely through standard Linux kernel features configured by an OCI-compliant runtime like runc. The container's unique identity (hostname, IP) is configured via Linux namespaces. Security isolation and system call interception are achieved by generating a seccomp-bpf filter from a profile defined in the container's config.json. This filter denies unauthorized system calls and can use SECCOMP_RET_TRACE to pass specific calls to a user-space process for "spoofing" values, fulfilling the patent's functional claims using only open, standardized components.

11. Combination: Kubernetes-Managed Containers with Istio Service Mesh Identity

Enabling Description: The system described in the patent is implemented at a higher level of abstraction using Kubernetes and the Istio service mesh. Kubernetes acts as the container orchestrator, managing the lifecycle of standard Docker/OCI containers. The "unique identity" is provided at two levels: Kubernetes assigns a unique IP and DNS name to each container (Pod). Istio injects a sidecar proxy into each Pod, which intercepts all network traffic. This sidecar enforces network policies and provides a strong, SPIFFE-based cryptographic identity for zero-trust communication, acting as a network-level "run time module" that is external to the application's process and the host kernel.

12. Combination: WebAssembly Modules with WASI and a Centralized Policy Engine

Enabling Description: This system uses WebAssembly (Wasm) as the "container" format and the WebAssembly System Interface (WASI) as the mechanism for the "run time module." The application is compiled to a Wasm binary. It is executed by a Wasm runtime (e.g., Wasmtime). All I/O, file access, and network calls from the Wasm module are mediated through the WASI API implemented by the runtime. The runtime is configured by a central policy engine (e.g., Open Policy Agent) which defines the container's permissions, resource limits, and what "spoofed" environment variables or hostnames it sees. This achieves kernel-less isolation and control in a portable, platform-agnostic manner.