Mobility Service Engine Clustering for Network Load Balancing
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Solution Overview
Problem
In larger networks, determining the appropriate device for handling mobility services becomes problematic due to the need for multiple devices and infrastructure nodes, leading to challenges in service distribution and balancing.
Innovation Solution
A Mobility Service Engine (MSE) cluster is introduced, comprising a MSE Cluster Master and MSE Cluster Slaves, which organizes the network into cohesive Network Service Segments (NSS) based on physical layout and service requirements, distributing these segments across Slaves to ensure balanced load and service delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If mobility services are provided by multiple devices in larger networks, then service coverage and capacity are improved, but determining the appropriate device handling a mobility service becomes problematic and device complexity increases
Solution Approach 1:
The network is divided into multiple Mobility Service Engine (MSE) clusters, each responsible for specific mobility service functions. This segmentation allows service coverage to be distributed across multiple devices while maintaining clear boundaries and responsibilities for each device, thus improving service capacity without proportionally increasing determination complexity.
Solution Approach 2:
The patent introduces cluster master devices as intermediaries that coordinate between multiple MSE devices and the network. These intermediaries manage service distribution and device selection, simplifying the determination process by providing a centralized coordination layer rather than requiring direct complex interactions between all service devices.
2Reliability
If mobility services are distributed across multiple infrastructure nodes, then service reliability and redundancy are improved, but load balancing and service distribution become more difficult
Solution Approach 1:
The patent implements dynamic load balancing mechanisms where MSE devices can dynamically adjust their service distribution based on current network conditions, device capacity, and service demands. This allows the system to maintain reliability through multiple nodes while automatically adapting load distribution to simplify operational management.
Solution Approach 2:
The system incorporates feedback mechanisms where MSE devices report their status, load, and performance metrics to cluster masters, which then adjust service distribution accordingly. This closed-loop control enables automatic load balancing across multiple infrastructure nodes, maintaining reliability while reducing manual intervention for load management.
Data Source
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AI summary
Described in an example embodiment herein is a Mobility Service Engine (MSE) cluster comprising an MSE Cluster Master and at least one MSE Cluster Slave. The MSE Master is configured to define Network Service Segments. The MSE Master of the cluster distributes the Network Service Segments to slaves within the cluster. The network is configured to forward data to the correct Network Service Segment.