Edge Server Load Balancing via Dynamic Video Stream Synchronization
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Solution Overview
Problem
Existing load balancing methods for video streaming services face challenges in dynamically adjusting server resources to match varying viewer numbers, leading to connection congestion or resource wastage, which affects service quality and increases costs.
Innovation Solution
A load balancing system and topology management method that configures transmission progress values for edge servers, groups them dynamically, and synchronizes video data to balance bandwidth usage, redirecting high-load streams to less loaded servers, thereby optimizing resource utilization and reducing costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the number of streaming edge servers is increased to handle large viewer numbers, then service quality is improved, but cloud resource waste and host rental costs increase
Solution Approach 1:
The patent implements dynamic server grouping where edge servers are automatically added or removed from service groups based on real-time bandwidth usage rates and viewer numbers. When bandwidth usage exceeds a threshold, new servers are added; when usage drops, servers are removed. This dynamic adjustment ensures service quality is maintained during high demand while preventing resource waste during low demand periods.
Solution Approach 2:
The system changes operational parameters by monitoring bandwidth usage rates and adjusting server group compositions accordingly. The load balancing device tracks usage metrics and dynamically modifies which servers are active in each service group, transitioning the system between different operational states based on actual load conditions rather than maintaining a fixed server configuration.
2Reliability
If the number of streaming edge servers is increased to handle large viewer numbers, then service quality is improved, but host rental costs increase
Solution Approach 1:
The patent implements dynamic server grouping where edge servers are automatically added or removed from service groups based on real-time bandwidth usage rates and viewer numbers. When bandwidth usage exceeds a threshold, new servers are added; when usage drops, servers are removed. This dynamic adjustment ensures service quality is maintained during high demand while preventing resource waste during low demand periods.
3Device complexity
If traditional load balancing methods are used without dynamic server scaling, then system simplicity is maintained, but connection congestion occurs during high viewer numbers
Solution Approach 1:
The patent implements dynamic server grouping where edge servers are automatically added or removed from service groups based on real-time bandwidth usage rates and viewer numbers. When bandwidth usage exceeds a threshold, new servers are added; when usage drops, servers are removed. This dynamic adjustment ensures service quality is maintained during high demand while preventing resource waste during low demand periods.
Solution Approach 2:
The load balancing device continuously monitors bandwidth usage rates of edge servers and uses this feedback to dynamically adjust server group compositions. The system receives usage information, compares it against thresholds, and automatically triggers server addition or removal actions, creating a closed-loop control system that adapts to changing viewer numbers and prevents connection congestion.
4Productivity
If dynamic server scaling is implemented to prevent connection congestion, then connection handling capability is improved, but system complexity increases
Solution Approach 1:
The load balancing device automatically performs monitoring, decision-making, and server group adjustment without manual intervention. The system self-manages the dynamic scaling process by autonomously tracking bandwidth usage, determining when servers need to be added or removed, and executing the necessary configuration changes, thereby reducing the operational complexity burden on users.
Data Source
AI summary
The disclosure provides a load balancing system, a load balancing device and a topology management method. The topology management method includes configuring and maintaining a transmission progress value for each of edge servers; grouping the edge servers into server groups, wherein the edge servers of each of the server groups provide one of a plurality of video streams, and each of the edge servers is grouped into at least one server group among the server groups; selecting a first video stream from at least one video stream corresponding of a first edge server having bandwidth usage rate higher than a high load threshold; synchronizing video data of the first video stream to a second edge server; setting a transmission progress value of the second edge server as a transmission progress value of the first edge server; and adding the second edge server into the server group corresponding to the first video stream.