Bandwidth Calendaring for QoS-Aware Configuration Data Transfers
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Solution Overview
Problem
The scheduling of data downloads to large numbers of communication devices can negatively impact quality of service (QoS) and quality of experience (QoE) if misaligned or poorly selected, necessitating improved bandwidth calendaring solutions.
Innovation Solution
A system and method for dynamic configuration bandwidth calendaring that involves identifying configuration data, obtaining relevant information, analyzing network resources, and selectively transferring data using different resources for different devices to ensure QoS and QoE are maintained.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data download scheduling is performed without dynamic resource allocation, then implementation complexity is reduced, but quality of service and quality of experience deteriorate due to misaligned or poorly selected scheduling
Solution Approach 1:
The patent implements dynamic bandwidth calendaring that adapts scheduling parameters in real-time based on network conditions, device states, and service requirements. The system continuously adjusts download schedules, resource allocations, and timing parameters dynamically rather than using static pre-configured schedules, thereby maintaining high QoS without requiring overly complex manual configuration
Solution Approach 2:
The system incorporates feedback mechanisms that monitor network performance, device reception status, and QoS metrics during data transfers. This feedback is used to automatically adjust subsequent scheduling decisions, resource allocations, and transfer parameters, enabling the system to maintain optimal QoS through adaptive learning rather than complex predetermined rules
2Productivity
If bandwidth calendaring is implemented for large numbers of devices, then data download efficiency is improved, but network resource consumption increases due to the volume of data involved
Solution Approach 1:
The patent segments the large-scale data distribution task into smaller, manageable batches grouped by device categories, network zones, or priority levels. Each segment is scheduled and transmitted independently with optimized parameters, improving overall download efficiency while reducing the network resource burden on any single transmission wave compared to transmitting to all devices simultaneously
Solution Approach 2:
The system employs periodic bandwidth calendaring cycles where data transfers are scheduled in repeated time intervals rather than continuous transmission. This periodic approach allows the network to recover and manage resources between transmission bursts, maintaining high download efficiency while preventing sustained high resource consumption that would occur with continuous transmission to all devices
3Speed
If configuration data transfer is performed without resource availability analysis, then transfer speed is improved, but quality of service deteriorates due to lack of coordination with ongoing network operations
Solution Approach 1:
The patent performs preliminary analysis of network resource availability, device readiness, and ongoing operation status before initiating configuration data transfers. This pre-check mechanism identifies optimal transfer windows and allocates necessary resources in advance, enabling high-speed transfers that are coordinated with network operations rather than disrupting them, thereby maintaining both speed and QoS
Solution Approach 2:
The system introduces an intermediary scheduling layer that acts as a mediator between high-speed data transfer requirements and ongoing network operations. This intermediary bandwidth calendaring system coordinates transfer timing, allocates dedicated resources, and manages conflicts between configuration updates and regular traffic, allowing fast transfers without compromising overall QoS
Data Source
AI summary
Aspects of the subject disclosure may include, for example, identifying a need to update firmware associated with a plurality of devices, obtaining information relevant to a transfer of configuration data to facilitate the update, analyzing the information in accordance with a quality of service that is owed to a plurality of client devices to determine that resources are available to accommodate the transfer, and enabling, based on the analyzing, the transfer of the configuration data to the plurality of devices. Other embodiments are disclosed.