Application Disabling Routine for PC Resource Management
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Personal computers experience performance degradation over time due to applications that continuously run and consume resources without providing a justifiable benefit, making it difficult for users to identify and address the cause, leading to ineffective solutions that may further degrade the system.
Innovation Solution
A routine that identifies resource-consuming applications without a justified benefit by evaluating data from external sources, such as remote databases and reputation services, and disables their ability to start or utilize resources without user input, employing a system comprising an application list generator, decision engine, and application disabling module to selectively disable undesirable applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If applications are allowed to run continuously to provide functionality, then user convenience and application availability are improved, but system resource consumption increases and performance degradation occurs
Solution Approach 1:
The system performs preliminary evaluation of applications before they are allowed to run automatically. External data sources are queried in advance to assess application reputation and potential harm, and this pre-evaluation result is stored in a database. When the system needs to determine whether to disable an application, the pre-stored evaluation data is retrieved and used for quick decision-making, avoiding the need for continuous real-time analysis.
2Productivity
If users manually identify and remove problematic applications to fix performance issues, then system performance is improved, but user time consumption increases and system complexity increases
Solution Approach 1:
The system automatically identifies and disables problematic applications without requiring user intervention. The routine continuously monitors system performance, queries external data sources for application reputation information, and autonomously makes decisions about which applications to disable based on predefined criteria. This self-service approach eliminates the need for users to manually diagnose and fix performance issues.
Solution Approach 2:
The system establishes a feedback loop where performance data from the computer system is continuously collected and used to trigger evaluations of applications. When an application's behavior or reputation indicates potential harm, the system receives feedback about the performance degradation and automatically adjusts by disabling the problematic application. This closed-loop feedback mechanism enables continuous self-regulation of system health.
3Productivity
If aggressive methods like system restore or full backup restoration are used to fix performance issues, then system performance may be improved, but data loss risk increases and system complexity increases
Solution Approach 1:
The system extracts and isolates problematic applications from the overall system without affecting other components. Instead of performing aggressive system-wide operations like restore or backup restoration, the routine specifically targets and disables only the identified problematic applications, leaving the rest of the system intact. This selective extraction approach minimizes potential data loss and system disruption.
4Productivity
If the system continuously monitors and evaluates applications to prevent resource consumption, then system performance is maintained, but computational overhead increases
Solution Approach 1:
The system performs preliminary evaluation of applications before they are allowed to run automatically. External data sources are queried in advance to assess application reputation and potential harm, and this pre-evaluation result is stored in a database. When the system needs to determine whether to disable an application, the pre-stored evaluation data is retrieved and used for quick decision-making, avoiding the need for continuous real-time analysis.
Data Source
AI summary
In some embodiments, a routine is executed that identifies one or more applications that consume resources of the computer without a benefit that justifies such consumption, with the routine comprising evaluating at least some data from a source external to the computer, and an ability of the one or more identified applications to start on the computer absent user input requesting or authorizing use of such an application is disabled. In some embodiments, the external source of data may, for example, comprise a remote database identifying potentially undesirable applications and/or a remote software reputation service. In some embodiments, a routine is executed that identifies one or more applications that consume resources of the computer without a benefit that justifies such consumption and that also identifies one or more resources or utilities that utilize the one or more applications. An ability of the one or more identified applications to start on the computer absent user input requesting or authorizing use of such an application is disabled, and an ability of the one or more resources or utilities to attempt to utilize the one or more applications absent user input requesting or authorizing such an attempt is also disabled.


