Application Framework for Context-Aware Cross-App Synchronization
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Solution Overview
Problem
Conventional approaches to performing computing tasks with multiple applications or modules are hindered by a lack of synchronization and collaboration, leading to inefficiencies, delays, and unreliability due to independent operation without awareness of context or changes in data protocols and relationships among applications.
Innovation Solution
An application framework that embeds logic within a computing system to provision and configure applications based on contextual information, ensuring synchronization and collaboration by determining compatible data formats, types, and relationships, and selectively propagating updates to relevant applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple applications or modules are run independently to process data, then each application can operate autonomously, but synchronization and collaboration between applications are lacking, leading to inefficiencies and delays
Solution Approach 1:
The patent introduces a framework as an intermediary layer that manages communication and synchronization between multiple applications. The framework receives contextual information from applications, determines compatibility relationships, and coordinates updates across applications, enabling efficient collaboration while maintaining autonomous operation of individual applications.
Solution Approach 2:
The framework provides universal synchronization capabilities that work across different applications and data types. It handles multiple functions including receiving contextual information, determining compatibility relationships, caching updates, and propagating changes to relevant applications, making the system adaptable to various computing scenarios.
2Measurement precision
If contextual information and compatibility relationships are maintained for all applications, then synchronization accuracy is improved, but the complexity of managing and processing this information increases
Solution Approach 1:
The framework manages complexity by dynamically adjusting the level of detail in contextual information processing. It determines compatibility relationships based on relevant parameters and only processes synchronization data at the necessary level of precision for each specific update scenario, avoiding unnecessary processing complexity while maintaining accuracy.
Solution Approach 2:
The framework applies different levels of processing and validation to different applications and data types based on their specific requirements. Rather than uniformly processing all contextual information with the same complexity, it tailors the synchronization approach to local needs, reducing overall system complexity while maintaining precision where required.
3Reliability
If updates are propagated to all relevant applications, then data consistency is maintained, but the time and resources required for propagation increase
Solution Approach 1:
The framework propagates updates selectively to only those applications that are determined to be compatible and relevant based on contextual information analysis. Rather than broadcasting to all applications, it performs partial propagation to the minimum necessary subset, reducing propagation time and resource consumption while maintaining consistency where needed.
Solution Approach 2:
The framework performs preliminary determination of compatibility relationships and application relevance before propagation occurs. By pre-establishing which applications should receive which types of updates based on contextual information, it avoids unnecessary propagation operations and reduces the time required for actual update distribution.
4Productivity
If a framework is introduced to manage application synchronization, then collaboration and efficiency are improved, but the device infrastructure and computing resources required increase
Solution Approach 1:
The framework merges synchronization management functionality into the existing application ecosystem rather than requiring completely separate infrastructure. It integrates with applications through standardized interfaces and leverages existing computing resources, reducing the need for additional dedicated hardware while still providing comprehensive synchronization capabilities.
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.