Network Traffic Prediction for Firmware Update Scheduling
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing content distribution systems face issues with network bandwidth overuse during scheduled updates of control information, which can obstruct device operations.
Innovation Solution
An information processing apparatus that predicts network traffic and requests a change in the scheduled update time if the predicted traffic exceeds acceptable limits, ensuring efficient bandwidth usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If firmware updates are scheduled at fixed dates and times, then device control information is kept up-to-date, but network bandwidth is overused during update periods
Solution Approach 1:
The patent implements dynamic update scheduling where the fixed update date/time is replaced with a flexible mechanism. The distribution system predicts network traffic amounts and dynamically adjusts update timing based on predicted bandwidth availability, allowing updates to occur when network conditions are favorable rather than at rigid predetermined times.
Solution Approach 2:
The system changes the parameter of update timing from a fixed constant to a variable determined by traffic prediction. By monitoring and predicting network traffic patterns, the system selects update dates and times that optimize bandwidth usage, transforming the update schedule from static to adaptive based on network conditions.
2Reliability
If firmware updates are performed at scheduled times, then device security and performance are improved, but device operations may be obstructed due to network overuse
Solution Approach 1:
The system performs preliminary traffic prediction and analysis before scheduling firmware updates. By predicting network traffic patterns in advance and selecting optimal update times when bandwidth is available, the system prepares the update schedule to minimize impact on device operations, ensuring both security updates and operational continuity are maintained.
Data Source
AI summary
An information processing apparatus includes a processor configured to: receive a scheduled date and time at which control information managed by a management apparatus is downloaded to a device via an external network and an internal network and is updated, the scheduled date and time being determined by the management apparatus; obtain a predicted traffic amount per predetermined time of the internal network at the scheduled date and time; and, in a case where the predicted traffic amount exceeds an acceptable traffic amount per the predetermined time, the acceptable traffic amount being set for the internal network, give a request to change the scheduled date and time to the management apparatus.


