Declarative Data Lifecycle Operations for Consistent Edge Nodes
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Solution Overview
Problem
Maintaining data object consistency across multiple computing nodes in an edge environment is challenging due to the difficulty in synchronizing imperative commands, leading to increased overhead and limited decentralized management.
Innovation Solution
Implement declarative management of data lifecycle operations, where each node retrieves time values for operations like encryption or deletion from a central source based on object identifiers, allowing independent execution and ensuring consistency across nodes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If imperative commands are used to manage data lifecycle operations across multiple computing nodes, then centralized control is achieved, but synchronization overhead increases and decentralized management is limited
Solution Approach 1:
Each computing node autonomously determines when to execute data lifecycle operations by locally evaluating time-based logic operators against current time, eliminating the need for complex centralized synchronization protocols while maintaining consistency across all nodes
Solution Approach 2:
The patent transforms the control mechanism from imperative commands requiring synchronization to declarative time-based logic operators that use time as a parameter to automatically determine execution timing, reducing synchronization overhead while maintaining data consistency
2Ease of operation
If time-based logic operators are implemented at each computing node, then decentralized management is enabled, but ensuring consistent state across nodes becomes challenging
Solution Approach 1:
All computing nodes operate under the same time-based logic operators and evaluate conditions against the same current time, creating an equipotential state where each node independently arrives at the same execution decisions without requiring communication or synchronization
Solution Approach 2:
Each node continuously monitors current time and automatically adjusts execution decisions based on time-based logic operator conditions, creating a feedback mechanism that ensures all nodes make consistent state changes at the appropriate times without centralized coordination
Data Source
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.


