Application Framework for Context-Aware Update Synchronization
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Solution Overview
Problem
Conventional approaches for performing computing tasks involving multiple applications or modules suffer from inefficiencies due to lack of synchronization and collaboration, leading to delays, resource consumption, and unreliability.
Innovation Solution
An application framework that provisions and configures a set of computing tasks by determining contextual information of each application, establishing relationships, and selectively propagating updates to compatible applications, while adjusting resource allocation based on available computing resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple applications or modules are run concurrently to process data, then data processing capability is improved, but synchronization complexity and resource consumption increase
Solution Approach 1:
The patent introduces an intermediary synchronization mechanism that mediates between multiple applications. This intermediary layer handles the complexity of coordinating data exchanges, maintaining context information, and managing relationships between applications, thereby enabling concurrent processing without directly increasing the complexity of individual applications.
Solution Approach 2:
The system segments the synchronization task into discrete manageable components by tracking individual application contexts, data exchanges, and relationships separately. This segmentation allows the complex synchronization problem to be divided into smaller, independently manageable units that can be processed concurrently.
2Reliability
If updates are propagated to all applications, then data consistency is improved, but resource consumption and propagation delays increase
Solution Approach 1:
The patent applies local quality by selectively propagating updates only to applications that have established relationships with the source application and are capable of processing the updated data. This localized approach ensures data consistency for affected applications while avoiding unnecessary resource consumption across all applications in the system.
Solution Approach 2:
Instead of propagating updates to all applications (excessive action), the system performs partial propagation by identifying and updating only the subset of applications that actually need the update based on their contextual relationships and data consumption patterns.
3Adaptability or versatility
If applications are configured with all possible data formats, then adaptability is improved, but system complexity and compatibility issues increase
Solution Approach 1:
The patent implements universality by creating a standardized interface layer that enables applications to work with multiple data formats without each application needing to understand all formats. The system maintains contextual information about supported formats at the application level, allowing flexible data exchange while keeping individual application complexity manageable.
Data Source
AI summary
A computing system and methods are provided for executing an application framework to provision a pipeline or workspace which may include applications that collaborate, such as, in performing a physical actuation of a physical component. The provisioning may include determining or receiving an indication of the applications to be installed and contextual information of each of the applications. The contextual information includes data objects, data types, or data formats supported by each of the applications and relationships among the applications. The computing system may provision one or more of the applications based on the indication of the applications to be installed and the contextual information. The computing system may receive an indication of an update at a first application of the applications and propagate the update to a subset of the applications based on the contextual information.