Network Service Policy Generation for Load Balance
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Solution Overview
Problem
Current service allocation in NFV environments, particularly in LTE networks, is limited to single MMEs, failing to satisfy load balance requirements due to lack of network-wide information access by eNodeBs.
Innovation Solution
A method and apparatus for generating and sending a system service logic policy based on service logic update information and initial service logic information, allowing service entities to perform service allocation across the network, thereby improving load balance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If one eNodeB is responsible for service logic configuration of only a single MME, then the device complexity and operation are simplified, but the load balance requirement cannot be satisfied and service allocation is limited
Solution Approach 1:
The patent divides the service logic into two parts: local service logic configuration (maintained by each eNodeB for simplicity) and global service logic policy (maintained by the policy management entity for network-wide coordination). This segmentation allows each eNodeB to maintain simple local configuration while the policy management entity provides global service allocation policies to multiple eNodeBs, enabling load balance across the network without increasing individual device complexity.
Solution Approach 2:
The patent introduces a policy management entity as an intermediary between the MME pool and eNodeBs. This intermediary collects service logic information from multiple MMEs, generates global service logic policies, and distributes them to eNodeBs. This mediator enables eNodeBs to perform network-wide service allocation without each eNodeB needing to directly access or manage information about all MMEs, thus maintaining operational simplicity while achieving versatile service allocation.
2Device complexity
If eNodeB has access to only local MME information, then the information management is simple, but the network-wide load balance cannot be achieved
Solution Approach 1:
The policy management entity acts as an intermediary that collects service logic information from multiple MMEs, generates global service logic policies, and distributes them to eNodeBs. This mediator enables eNodeBs to perform network-wide service allocation without each eNodeB needing to directly access or manage information about all MMEs, thus maintaining operational simplicity while achieving versatile service allocation.
Solution Approach 2:
The system implements feedback mechanisms where MMEs provide service logic information to the policy management entity, which then generates updated service logic policies based on current network state. These policies are distributed back to eNodeBs, creating a closed-loop feedback system that enables dynamic load balance while keeping individual device complexity low.
Data Source
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AI summary
Embodiments of the present invention disclose a processing method for service allocation and a related apparatus. The method includes: receiving service logic update information that is obtained after configuration update is performed on a functional entity in a network; searching for initial service logic information already stored at a local end, and generating a system service logic policy according to the service logic update information and the initial service logic information; and sending the system service logic policy to service entities in the network that execute service processing, where the system service logic policy is used to instruct the service entities in the network to execute service allocation on the functional entity in the network. By means of the present invention, service allocation can be performed based on a system service logic policy that is obtained by functional entities in a network, so that a requirement for load balance is better satisfied.