Edge Data Lifecycle Timing for Decentralized Consistency

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing data lifecycle management in edge environments faces challenges in maintaining data object consistency across multiple computing nodes, leading to increased overhead and limited decentralized management due to imperative programming, which complicates synchronization and resource usage.

Innovation Solution

Implementing declarative data management through time-based logic operations, where each node retrieves a time value for a particular time-to-X operation from a central source, such as encryption, decryption, compression, etc., and executes the operations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If imperative programming is used for data lifecycle management, then centralized control is achieved, but synchronization complexity and overhead increase

Engineering Contradiction:

Improvedata object consistencyVSAvoidsynchronization complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

Each computing node autonomously retrieves time values from a central source and executes time-based logic operations independently, eliminating the need for complex inter-node synchronization protocols while maintaining data consistency across the distributed system

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

Time-based logic operators are pre-configured with time values from a central source before execution, allowing nodes to independently determine when operations should occur without requiring real-time coordination or synchronization with other nodes

Inventive Principle:

Principle #10Preliminary action

2Adaptability or versatility

If declarative data management is implemented, then decentralized management is enhanced, but coordination overhead may increase

Engineering Contradiction:

Improvedecentralized management capabilityVSAvoidcoordination mechanism complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

A central source acts as an intermediary that provides time values to all computing nodes, enabling decentralized execution while maintaining coordination through a simple, centralized time-value distribution mechanism rather than complex peer-to-peer coordination

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system transitions from imperative command-based management to declarative time-based management by changing the control parameter from explicit execution commands to time-value specifications, allowing nodes to autonomously determine execution timing based on retrieved time values

Inventive Principle:

Principle #35Parameter changes

3Productivity

If time-based logic operators are distributed to multiple nodes, then operational flexibility increases, but maintaining consistency across nodes becomes more difficult

Engineering Contradiction:

Improveoperational flexibilityVSAvoiddata object consistency

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

Each computing node maintains local autonomy by independently retrieving and executing time-based logic operations based on locally-obtained time values, allowing flexible local execution while ensuring consistency through the common time reference from the central source

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS20260010308A1Apparatus, systems, articles of manufacture, and methods for data lifecycle management in an edge environment

Publication Date: 2026.01.08 INTEL CORP

AI summary

Apparatus and methods for data lifecycle management in an edge environment are disclosed herein. An example apparatus includes an operation executor to identify a first operation to be performed for a data object at an edge node in an edge environment and a second operation to be performed for the data object, the first operation different that the second operation. The example apparatus includes a time parameter retriever to retrieve a first time value associated with the first operation from a data source and a second time value associated with the second operation from the data source. The operation executor is to execute the first operation in response to the first time value and to execute the second operation in response to the second time value.