Load Balancer for WAN Optimization Devices
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Solution Overview
Problem
Existing WAN optimization systems lack effective load balancing mechanisms to distribute network connections efficiently across multiple WAN optimization devices, leading to potential overload and reduced network performance.
Innovation Solution
Implementing a load balancer that dynamically maps connection requests based on the capacities of local and remote WAN optimization devices, adjusting capacities based on real-time load measurements and network statistics to ensure optimal distribution and prevent overload.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple WAN optimization devices are deployed to handle network connections, then network capacity and performance are improved, but load distribution becomes unbalanced leading to device overload
Solution Approach 1:
A load balancer is introduced as an intermediary component between remote WAN optimization devices and local WAN optimization devices. The load balancer receives connection requests, determines appropriate mappings based on device capacities, and directs requests to suitable local devices, preventing any single device from becoming overloaded while maintaining high network capacity
Solution Approach 2:
The system dynamically determines mappings based on current device capacities and load conditions rather than using static assignment. The load balancer continuously monitors and adjusts the mapping between remote and local WAN optimization devices to optimize load distribution in real-time, ensuring reliable operation under varying network conditions
2Device complexity
If static mapping is used between remote and local WAN optimization devices, then device complexity is reduced, but network performance deteriorates under varying load conditions
Solution Approach 1:
The load balancer automatically performs capacity-based mapping determination without requiring manual configuration or complex algorithms. The system self-adjusts by monitoring device capacities and dynamically creating optimal mappings, maintaining low operational complexity while adapting to varying network performance requirements
Data Source
AI summary
Systems and techniques are described for load balancing between WAN optimization devices. During operation, a mapping is determined based solely or partially on capacities of a set of remote WAN optimization devices and capacities of a set of local WAN optimization devices, wherein the mapping maps each remote WAN optimization device to a local WAN optimization device. Next, connection requests are directed to WAN optimization devices based on the mapping.