IoT Code Migration Timing for Low-Disruption Deployment

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Solution Overview

Problem

In IoT environments, businesses face challenges in identifying the optimal time to update or maintain software on IoT devices to minimize disruptions and ensure a smooth transition.

Innovation Solution

A cloud-based system server analyzes operational information from IoT devices to identify an optimal window for code migration, modifies the codebase for compatibility, and transfers it during a suitable timeframe based on device behavior and user activity.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If software updates are pushed to IoT devices, then software maintenance and updates are achieved, but user disruptions and transition issues occur

Engineering Contradiction:

Improvesoftware maintenance capabilityVSAvoiduser disruption

Core Design Contradiction:

ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The system performs preliminary actions by analyzing operational information and identifying optimal migration windows before pushing software updates. It proactively determines the best time for code migration based on device usage patterns, ensuring updates are applied when user disruption will be minimized, thus maintaining software reliability while avoiding harmful disruptions.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system continuously monitors operational information from IoT devices and uses this feedback to dynamically adjust migration timing. By analyzing real-time device usage patterns and operational states, the system receives feedback on when devices are least active, allowing it to schedule updates during optimal windows that minimize user disruption while ensuring software maintenance is achieved.

Inventive Principle:

Principle #23Feedback

2Productivity

If code migration is performed without analyzing operational information, then migration speed is increased, but migration timing accuracy deteriorates

Engineering Contradiction:

Improvemigration speedVSAvoidmigration timing accuracy

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The system applies partial action by selectively analyzing only the most relevant operational information parameters needed to determine migration timing, rather than processing all possible data. This approach achieves sufficient timing accuracy by focusing on key usage patterns and operational states, while maintaining reasonable migration speed through targeted rather than exhaustive analysis.

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS12536015B2Code migration and deployment in an internet-of-things (IOT) environment

Publication Date: 2026.01.27 ROKU INC

AI summary

Disclosed herein are system, apparatus, article of manufacture, method, and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for code migration and deployment in an Internet-of-Things (IoT) environment. A system server (e.g., a server of a cloud-based platform, etc.) may receive a codebase and operational information for a target device (e.g., an IoT device, a mobile device, a smart device, etc.). The codebase may be modified for compatibility with the target device based on functionality for libraries of the codebase mapped to functional elements that define the functional capabilities of the target device. A codebase migration window may be identified based on an indication that an operation of the target device satisfies an operational threshold and the operational information received from the target device. The modified codebase may be transferred to the target device during the codebase migration window.