M2M Resource Deletion with Operation and Expiration Conditions
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Solution Overview
Problem
Existing M2M systems lack an efficient method for deleting resources without explicit requests, particularly in scenarios where data should be automatically deleted based on specific conditions or characteristics.
Innovation Solution
Implementing a method for setting a condition for resource deletion in M2M systems, allowing resources to be deleted automatically based on volatile features such as expiration time, read operations, or user access, without requiring explicit requests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic deletion based on conditions is implemented, then resource management efficiency is improved, but system complexity increases
Solution Approach 1:
The patent applies preliminary action by establishing deletion conditions and criteria in advance during resource creation or configuration. The system pre-defines when resources should be deleted (e.g., after certain operations, time-based conditions, access patterns) so that automatic deletion can occur without requiring real-time complex decision-making, thus improving efficiency while controlling complexity.
Solution Approach 2:
The system implements self-service by enabling resources to be automatically deleted based on pre-set conditions without requiring explicit deletion requests. The resource management system monitors conditions and performs deletion autonomously, reducing the need for manual intervention and improving overall resource management efficiency.
2Reliability
If explicit deletion requests are required, then system control is maintained, but operational overhead increases
Solution Approach 1:
The system enables resources to delete themselves automatically when deletion conditions are met, eliminating the need for external deletion requests. This maintains system control through pre-defined rules while significantly reducing operational overhead and time loss associated with manual deletion management.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring resource states and deletion conditions. When conditions are satisfied, the system automatically triggers deletion, providing closed-loop control that maintains reliability while reducing operational overhead compared to open-loop explicit request systems.
3Manufacturing precision
If conditional deletion is implemented, then data management precision is improved, but processing complexity increases
Solution Approach 1:
The patent applies segmentation by dividing deletion logic into distinct, manageable condition types (e.g., time-based conditions, operation-based conditions, access-pattern conditions). Each condition type can be independently configured and evaluated, improving data management precision while keeping processing complexity可控 through modular condition handling.
Data Source
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AI summary
The present invention is directed to delete a resource in a machine-to-machine (M2M) system. A method for operating an M2M device in an M2M system includes generating a request message including information associated to deletion of a resource, the deletion being performed in response to an operation, and transmitting the request message to a counterpart M2M device. The information includes at least one of information notifying that the resource is deleted in response to the operation, information indicating the resource, information indicating at least one operation that is a condition of the deletion, information indicating content of the condition, or information for identifying an entity that performs an operation causing the deletion.