Lifecycle-Based Data Publishing for Stable Goal Achievement
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional methods struggle to accurately determine the optimal amount of data to publish, often leading to resource waste due to excessive data dissemination.
Innovation Solution
A method and apparatus that determine a publishing goal, assess the lifecycle impact of published data items, and adjust the quantity of data to be published based on these lifecycles to achieve the desired publishing result, using machine learning models to optimize data distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a large quantity of data items is published to ensure the publishing goal is met, then the reliability of achieving the publishing goal is improved, but resource waste increases due to excessive data dissemination
Solution Approach 1:
The patent applies dynamics by making the data publishing quantity adjustable and adaptive rather than fixed. The system dynamically determines the publishing quantity based on the lifecycle characteristics of published data items, allowing the publishing strategy to evolve over time as data items transition through different lifecycle stages, thereby optimizing resource utilization while ensuring publishing goals are met.
Solution Approach 2:
The patent changes the parameter of data publishing quantity from a static value to a dynamic parameter that varies based on data item lifecycle. By introducing lifecycle-based parameter adjustment, the system publishes more data items when they have high impact value and reduces publishing when impact diminishes, thus balancing goal achievement with resource efficiency.
2Duration of action of stationary object
If data publishing quantity is increased to maintain stable impact over time, then the duration of action is improved, but the quantity of substance published increases leading to resource waste
Solution Approach 1:
The patent implements periodic action by publishing data items in cycles corresponding to their lifecycle stages. Instead of continuous uniform publishing, the system periodically assesses the publishing state and lifecycle of data items, adjusting publishing quantities in periodic intervals to maintain stable impact while avoiding continuous resource waste from publishing past-lifecycle items.
Solution Approach 2:
The system dynamically adjusts publishing quantity over time based on observed publishing states and lifecycle progression. This dynamic approach allows the system to maintain stable impact duration by adapting publishing rates to current data item effectiveness, rather than using fixed high-volume publishing that would waste resources.
3Loss of energy
If the publishing quantity is reduced to minimize resource waste, then the loss of energy is improved, but the reliability of achieving the publishing goal may be compromised
Solution Approach 1:
The patent changes the publishing quantity parameter based on data item lifecycle stage, publishing intensively when items are in high-impact phases and reducing publication when impact diminishes. This parameter adaptation ensures publishing goals are reliably achieved during critical periods while minimizing resource waste during low-impact periods.
Solution Approach 2:
The system uses periodic assessment of publishing states to determine optimal publishing quantities. By periodically evaluating whether publishing goals are being met and adjusting quantities accordingly, the system maintains goal achievement reliability while avoiding continuous excessive publishing that would waste resources.
Data Source
AI summary
There are provided methods, apparatuses, devices and storage media for managing data publishing. A publishing goal associated with the data publishing is received, the publishing goal indicating a publishing result expected to be obtained by data publishing. A publishing quantity of a plurality of data items required to be published for achieving the publishing goal is determined. Based on a publishing state of a first set of published data items, a first set of lifecycles of the first set of data items is determined, a first lifecycle in the first set of lifecycles indicating an impact of a first data item in the first set of data items on the publishing goal. A second quantity of a second set of data items to be published is determined based on the publishing quantity, a first quantity of the first set of data items and the first set of lifecycles.


