Interprogram Communication TRIZ Cases

Call-stack mapping and SBOM risk metadata help distinguish vulnerable API components and reduce false positives in transaction screening.

A Command Loop enables Python and web interfaces to exchange data bidirectionally.

A low-latency channel and controlled-access memory help a monitor co-processor detect low-level runtime intrusions with integrity.

Statistical rate limiting reduces API Gateway synchronization overhead and latency.

Incremental snapshots share object-store data, so tracking objects and metadata requests calculate each snapshot’s physical size.

A remote server supplies real-time transaction-specific numbers through an overlay, reducing input friction and static-data security risks.

A map-based GUI organizes geo-tagged ephemeral galleries by location, helping users explore relevant content beyond a feed-only view.

This case turns visual application relationships into reproducible container repositories, reducing manual configuration through reusable stack templates.

This case maps legacy APIs to updated cloud interfaces and generates extensions, reducing manual migration effort.

Coordinate a RISC-V emulator and RTL simulator for unified SoC debugging, with TCP and AXI communication and no FPGA board required.

A host framework uses plugins to hide device-specific compression and encryption details, keeping applications portable across hosts.

A dynamic schema adds or removes fields by condition, reducing payload size and schema-variant maintenance.

The transformer converts CPDLC text into graphical and actuator commands for language-independent, automated aircraft ground guidance.

Peer-to-peer control paths reduce host involvement and communication latency.

This case connects training, payroll, and contract data to automate configurable reports and validate performance in real time.

Precomputed relationship mappings let a consumer API retrieve correlated messages across queues without brute-force searches.

Separate REST and GraphQL clients add code and configuration burden; one connector centralizes requests and reuses connections.

The approach modifies a socket's network namespace before transmission, reducing packet-processing overhead and connection latency.

When a receiver slows, the controller copies data to memory and rewrites message addresses to keep transfers moving.

An API layer validates and imputes electronic requests before isolated model execution, improving stability and concurrent processing.

Multi-dimensional code evaluation reduces false negatives in medical encounter claims.

A centralized policy server and local agents enforce dynamic API authorization without embedding complex controls in microservice code.

A central key-value store lets applications render transaction data while transmitting smaller identifiers across the network.

Remote datacenter devices stream browser sessions while injected URL requests support near-real-time cross-platform website testing.

Grouping related edge devices under a proxy reduces redundant discovery connections, easing latency, bandwidth use, and energy consumption.

Callback registration and event triggers let peripheral nodes relay thermal data and error codes beyond standard bus protocols.

Outbound transmit tables align RSS with NIC queues, reducing requeuing, latency, memory use, and packet drops.

Vendor-specific ZTP messages are translated into a common Kafka schema, simplifying integration as network components change.

Deployment thresholds let the auto-scaler raise or lower node pool minimums, preparing for peak workloads while limiting idle capacity.

Subscriber criteria validate remediation API actions for faster cyber threat response.

Allowlist and blocklist validation verifies kernel extension metadata and code integrity before loading into kernel space.

Tags, scanning, and intermediary coordination move checked bags between unaffiliated carriers while passengers remain in the security zone.

A priority state table suspends non-priority messages so critical events are processed first without halting normal event processing.

A distributed event processor uses type-based compression and continuous queries to handle high-volume streams with low latency.

Compressed event labels, batch noise, and debiasing support private multi-party attribution for machine learning training.

Consent-bearing access tokens let communication equipment verify protected API requests without repeated real-time consent checks.

A remote specialty device module translates software commands for barcode scanners and label printers without device-specific drivers.

This case maps cloud-native 5G O-RAN services through open APIs, enabling multi-vendor orchestration and faster network innovation.

This case prunes processor-specific code and inserts proxy RPCs to link cross-ISA procedure calls through a common application library.

This case uses signer-authenticated signature files and digest matching to block tampered container images before startup.

Reconfigurable channels route user input to management controllers in secure states.

Unified storage normalizes event streams for real-time anomaly detection across compute assets.

This case uses code and API event channels to identify users and deliver or stop targeted campaign messages.

Graph-based contract models match event patterns to score entities, reducing ambiguity and memory demands during distributed enforcement.

Separate high-frequency raw collection from lower-frequency enrichment to support fleet metrics with less service overhead.

A request orchestrator and standard interface connect concurrent BFT execution engines while reducing service integration complexity.

Hierarchical contexts and per-thread stacks manage active resources, improving synchronization while reducing memory consumption.

This case uses nested contexts and resource descriptors to defer instruction execution and improve GPU memory allocation.

Generative AI creates dummy data and registers it in applications through function calls.

Self-tuned time windows and graph-based event scopes reduce irrelevant signatures while improving correlation confidence for IT operations.