Partitioned Task Management Across Devices for Secure Data Processing
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Solution Overview
Problem
Businesses face challenges in efficiently processing large volumes of data due to increased computational and energy demands, which can lead to higher costs and environmental impact, while also risking data security and confidentiality with improper data access.
Innovation Solution
Implementing a partitioned task management service that segregates task-related data and processing from other data types, allowing for enhanced computational efficiency, reduced energy usage, and improved data security by storing and processing task-related data on a dedicated computing device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If new functionality is added to process vast quantities of data, then data processing capability is improved, but computational resource requirements and energy consumption increase
Solution Approach 1:
The patent segments the computing system into multiple computing devices, each responsible for specific data processing tasks. Instead of one device processing all data, the workload is divided and distributed across multiple devices, allowing parallel processing that improves overall capability while managing energy consumption through selective activation of only necessary devices for specific tasks.
Solution Approach 2:
The patent extracts and isolates specific data processing functionalities into separate computing devices. By taking out particular processing tasks from a monolithic system and placing them on dedicated devices, the system can process vast quantities of data efficiently while consuming less energy overall, as each device operates independently and only when needed for its specific function.
2Adaptability or versatility
If additional computational resources are added to process data in new ways, then functionality is improved, but system complexity and cost increase
Solution Approach 1:
The patent designs computing devices with universal capabilities that can perform multiple data processing functions. Each computing device is configured to handle various types of data processing tasks, allowing the system to achieve high adaptability and versatility without requiring specialized hardware for each function. This multi-functionality approach reduces overall system complexity compared to having dedicated devices for each specific task.
3Productivity
If data is processed and stored in larger quantities, then service capability is improved, but data security risks increase
Solution Approach 1:
The patent segments data and computing resources across multiple computing devices, so that no single device holds or processes all data. This segmentation inherently improves data security by limiting the exposure of sensitive information to only those devices that need access for specific processing tasks, thereby maintaining service capability while reducing security risks through distributed data management.
Data Source
AI summary
This disclosure provides systems, methods, and apparatuses, including computer programs encoded on computer storage media, for implementing a task management service by a first device. In one aspect of the disclosure, a method includes generating, based on a task request indicating a task to be performed, a task record and a task form. The method further includes sending the task form via a second computing device to a third computing device. The task form is configurable to be displayed on a graphical user interface (GUI) of the third computing device. The method also includes receiving, via the task form, one or more task parameters, and populating the task record based on the one or more task parameters. Other aspects and features are also claimed and described.