Transport Controller Service Optimization via Idle Resource Allocation
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Solution Overview
Problem
In transport networks, service optimization often requires online path adjustments, but insufficient virtual resources can lead to service interruptions due to the inability to perform establishment-before-disconnection procedures without disconnecting existing paths.
Innovation Solution
A service optimization method where a transport controller (TC) receives optimization requests from client controllers (CCs), determines if idle resources in the resource pool meet the optimization requirements, and sends optimization policies to CCs to adjust services without interrupting existing connections by using idle resources for temporary path establishment and disconnection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If establishment-before-disconnection procedure is used for service optimization, then service interruption is avoided, but the procedure cannot be completed when available virtual network resource is insufficient
Solution Approach 1:
The patent introduces a transport controller (TC) as an intermediary between client controllers (CCs) and the resource pool. The TC manages idle virtual network resources centrally and can allocate them to CCs during service optimization. This intermediary enables the establishment-before-disconnection procedure to succeed even when a CC's own resources are insufficient, by borrowing resources from the TC's pool, thus maintaining service continuity while enabling optimization.
2Productivity
If online optimization is performed with insufficient idle resources, then service optimization cannot be achieved, but service interruption is caused
Solution Approach 1:
The transport controller (TC) is designed with multi-functionality: it not only manages the resource pool but also directly participates in service optimization by allocating idle resources to CCs. This universal controller can dynamically adjust resource allocation based on optimization needs, enabling both service continuity and optimization throughput to be maintained simultaneously through centralized resource management.
Data Source
AI summary
Embodiments of the present invention disclose a service optimization method, a transport controller (TC), a client controller (CC), and a service optimization system. The method includes: receiving, by a TC, an optimization request from a CC; sending, by the TC, an answer message to the CC when determining that an idle resource in a resource pool can meet an optimization requirement of the CC; receiving, by the TC, an optimization instruction of the CC; and optimizing, by the TC according to the optimization policy in the optimization instruction, the service identified in the optimization instruction. When an idle network resource in the resource pool can meet the optimization requirement of the CC, the TC executes the optimization policy that meets the optimization requirement of the CC, so as to reduce a service interruption phenomenon in a service optimization process.