Information Processing Device Load Notification Mechanism
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Solution Overview
Problem
Information processing devices face challenges in managing increased data loads, leading to potential failures in executing functions due to excessive communication and processing demands, particularly when multiple users request concurrent executions of functions across IoT devices.
Innovation Solution
An information processing device with a receiving unit and a notifying unit that assesses the load status of devices and provides warning notifications or adjusts execution conditions to prevent failures, including data compression, communication method changes, and device prioritization to ensure proper function execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple users request concurrent executions of functions across IoT devices, then the system's functionality and user service capability are improved, but the data load and communication demands increase excessively leading to potential execution failures
Solution Approach 1:
The notification unit provides advance warning to users before function execution fails due to excessive data load. This preliminary action allows users to be informed of potential execution issues before they occur, enabling them to adjust their requests or wait for lower load conditions, thus preventing execution failures rather than reacting after they happen.
Solution Approach 2:
The system implements a feedback mechanism where the notification unit continuously monitors data load conditions and provides real-time feedback to users about execution feasibility. This feedback loop allows users to make informed decisions about their function requests based on current system state, balancing productivity with system capacity.
2Adaptability or versatility
If the device handles increased amounts of data to support more concurrent requests, then the system's service capacity is improved, but the reliability of function execution deteriorates due to excessive processing demands
Solution Approach 1:
The notification unit performs preliminary assessment of data load conditions before function execution is attempted. By notifying users in advance when data load exceeds thresholds that would compromise execution reliability, the system prevents unreliable executions from occurring in the first place, maintaining reliability while still supporting concurrent requests within capacity limits.
Solution Approach 2:
The system takes preliminary anti-action by notifying users of potential execution failures before they happen. This preemptive warning allows users to modify their requests, delay execution, or choose different functions, thereby preventing the harmful effect of execution failures that would occur if the system attempted to handle excessive concurrent requests.
3Reliability
If the system provides warning notifications to users about potential execution failures, then the reliability of function execution is improved, but the system complexity increases due to additional monitoring and notification mechanisms
Solution Approach 1:
The notification unit serves multiple functions: it monitors data load conditions, assesses execution feasibility, and communicates with users. By consolidating these functions into a single multi-functional component rather than separate dedicated systems, the patent reduces overall system complexity while maintaining reliability through comprehensive monitoring and user notification.
Data Source
AI summary
An information processing device includes a receiving unit and a notifying unit. The receiving unit receives an execution request for executing a function for using a device. The notifying unit provides a warning notification in a case where the function is not expected to be properly executable due to an increase in an amount of data handled by the device.