Scheduled Background Data Updates for Digital Broadcast Networks
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Solution Overview
Problem
Digital broadcast networks face inefficiencies due to bandwidth limitations, leading to repetitive data transmission and high resource usage when delivering non-time-sensitive data to multiple client devices simultaneously, which affects the user experience.
Innovation Solution
Implementing a method to schedule non-time-sensitive data updates for delivery when client devices are idle, using intelligent client software to initiate background processes and transmit data through a digital broadcast network, while ensuring time-sensitive data is delivered promptly during active usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If non-time-sensitive data is transmitted repeatedly to multiple client devices simultaneously over a digital broadcast network, then all clients receive the data, but bandwidth usage increases and resource consumption rises
Solution Approach 1:
The system schedules non-time-sensitive data transmissions in advance during idle periods when clients are not actively using the application. The scheduler component prepares a transmission schedule that identifies optimal time windows for delivering updates, ensuring data is delivered before users need it without consuming bandwidth during active usage periods.
Solution Approach 2:
The system implements periodic transmission windows for non-time-sensitive data, alternating between active data delivery periods and idle periods. During idle periods, background processes receive scheduled downloads; during active periods, only time-sensitive data is transmitted. This periodic alternation reduces overall bandwidth consumption while maintaining data delivery reliability.
2Loss of information
If the system listens to broadcast channels continuously for all data, then no data is missed, but resource usage increases during active application periods
Solution Approach 1:
The system segments data reception into two distinct modes: active mode during user interaction where only time-sensitive data is received, and passive background mode during idle periods where non-time-sensitive scheduled downloads are received. This segmentation allows the device to optimize resource usage based on user activity state while ensuring both time-sensitive and non-time-sensitive data are received appropriately.
Solution Approach 2:
The intelligent client software includes built-in functionality to automatically detect when the device is idle and autonomously initiate background processes to receive scheduled downloads without user intervention. The system self-manages the switching between active and passive reception modes based on application state, reducing the need for continuous user-monitoring resources.
3Speed
If updates are delivered immediately when available, then time-sensitive data reaches users promptly, but non-time-sensitive data transmission becomes inefficient
Solution Approach 1:
The system applies different delivery strategies to different types of data: time-sensitive data receives immediate high-speed delivery during active periods, while non-time-sensitive data is delivered at scheduled times during idle periods. This localized quality approach optimizes delivery speed for critical data while improving overall bandwidth utilization efficiency by offloading non-critical traffic to off-peak times.
Data Source
AI summary
A digital broadcast network is disclosed that can provide scheduled updates for non-critical data in a different manner than critical data updates. Updates that included non-critical information can be scheduled to be broadcast, over a digital broadcast network, during an update window, which can be a specific period of time. Receiving devices can be notified of the update window and, utilizing background functionality, the non-critical updates can be accepted and applied at the receiving device. The non-critical updates might be accepted and applied during the update window if the receiving device is in an idle state or a period of low activity. The non-critical updates can be broadcast on a separate channel or stream. During periods other than during the update window, other data can be transmitted on the separate channel or stream. Critical updates can be applied in real-time.