Adaptive Bandwidth Throttling for Data Backup Systems
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing data backup systems face inefficiencies due to unpredictable network bandwidth, leading to either slow backup processes or interference with higher-priority applications, as they rely on static bandwidth thresholds that may not accurately reflect available bandwidth.
Innovation Solution
A method for adaptive bandwidth estimation, where a client continuously adjusts its bandwidth usage by sending small data packets and increasing their size based on server feedback, using mathematical formulas to ensure reliable estimates and adjust bandwidth limits accordingly, ensuring efficient backup operations without impacting other network applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If static bandwidth thresholds are used for backup operations, then higher-priority applications can maintain their bandwidth allocation, but backup speed is reduced due to conservative bandwidth limits
Solution Approach 1:
The system dynamically adjusts backup bandwidth allocation based on real-time network conditions rather than using static thresholds. The backup client continuously monitors network bandwidth availability and adapts its bandwidth consumption accordingly, allowing both high-priority applications and backup operations to benefit from optimized resource allocation.
Solution Approach 2:
The system implements a feedback mechanism where the backup client receives bandwidth estimation feedback from the server and adjusts its bandwidth usage accordingly. This closed-loop control allows the system to respond to changing network conditions and maintain optimal performance for both backup operations and other network applications.
2Productivity
If more network bandwidth is allocated to backup operations, then backup speed improves, but other network applications may be impacted due to bandwidth contention
Solution Approach 1:
The backup operation dynamically adjusts its bandwidth consumption based on real-time network conditions and server feedback. The system continuously monitors available bandwidth and adapts its transmission rate accordingly, ensuring that backup operations utilize available capacity without compromising the performance of other network applications.
Solution Approach 2:
The system changes the bandwidth allocation parameter dynamically based on network conditions. By adjusting the bandwidth consumption parameter in response to real-time feedback, the system optimizes backup speed while preventing negative impacts on other network applications.
3Device complexity
If network bandwidth is predicted using static methods, then system complexity is reduced, but bandwidth estimation accuracy is insufficient leading to inefficient bandwidth usage
Solution Approach 1:
The system uses feedback from the server regarding actual network bandwidth conditions to continuously improve bandwidth estimation accuracy. The backup client adjusts its bandwidth requests based on this feedback, creating a self-correcting system that improves precision without requiring complex prediction algorithms.
Solution Approach 2:
The system performs self-adjustment of bandwidth allocation based on feedback received from the server. The backup client autonomously modifies its bandwidth consumption to match actual network conditions, eliminating the need for complex external bandwidth prediction systems.
Data Source
AI summary
Aspects of the current patent document include systems and methods to adaptive bandwidth throttling, for example, for use in data backup systems and data recovery systems. In embodiments, bandwidth estimation can be performed while sending data. In embodiments, the bandwidth estimation is used in data backups to send data to be backed up. In embodiments, a server performs network bandwidth estimation by receiving relatively small data packets and estimating bandwidth until bandwidth reliability conditions are satisfied.