Information Processing Apparatus Group Task Integration
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Solution Overview
Problem
In existing event-driven service technologies, the same processing tasks are often executed multiple times for users in similar situations, leading to wasteful use of resources due to lack of integration across users with shared GPS information.
Innovation Solution
An information processing system that identifies and integrates processing tasks across users in the same group by sharing execution results, thereby invalidating redundant processing tasks and reducing resource usage through a database-driven approach that manages processing dependencies and group information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If processing tasks are executed independently for each user without integration, then each user receives personalized service, but redundant processing occurs leading to resource waste
Solution Approach 1:
The patent merges processing tasks across multiple users by identifying that users in the same group (e.g., same location based on GPS information) require identical processing. Instead of executing the same processing task separately for each user, the system combines these tasks into a single execution and shares the result across all users in the group, thereby eliminating redundant processing and reducing resource consumption.
Solution Approach 2:
The patent implements a universal processing mechanism where a single processing execution serves multiple users simultaneously. By introducing group information and determining whether users belong to the same group, the system enables one processing task to fulfill the needs of multiple users, achieving multi-functionality and improving overall processing efficiency while reducing resource waste.
2Loss of energy
If processing tasks are integrated across users in the same group, then resource usage is reduced, but system complexity increases due to group management
Solution Approach 1:
The patent applies preliminary action by pre-establishing group information databases and determining user group affiliations before processing tasks are executed. By having group information ready in advance and determining group membership prior to processing, the system avoids the need for complex real-time coordination during task execution, thereby reducing system complexity while still achieving resource optimization through integrated processing.
3Loss of energy
If redundant processing is eliminated through integration, then resource efficiency improves, but the ability to handle individual user variations decreases
Solution Approach 1:
The patent applies local quality by differentiating processing strategies based on user group membership. For users in the same group, the system uses integrated processing with shared results to eliminate redundancy. For users with unique requirements or those not in a group, the system maintains independent processing capabilities. This localized approach allows the system to optimize resources for suitable cases while preserving individualized processing where necessary.
Data Source
AI summary
An information processing apparatus includes one or more memories and one or more processors coupled to the one or more memories and the one or more processors configured to execute a first process by using first input information for a first terminal, perform first output of a first execution result generated by the first process executed by using the first input information, and in a case where a second terminal and the first terminal belong to a first group, perform second output of the first execution result in response to receiving a request of the first process to be executed by using second input information for the second terminal.