Cloud CMTS Elastic Capacity Management for HFC Networks
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Solution Overview
Problem
Hybrid Fiber-Coaxial (HFC) networks face challenges in dynamically managing bandwidth capacity as subscriber traffic varies over time, requiring elastic capacity management to adjust resources accordingly without disrupting user traffic.
Innovation Solution
A cloud Cable Modem Termination System (cCMTS) with an orchestrator that senses traffic changes, dynamically spawns new instances, synchronizes states, and configures underlay routing to seamlessly transition traffic between existing and new systems, ensuring continuous service during resource allocation changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If bandwidth capacity is increased to handle peak subscriber traffic, then service quality is improved, but resource waste occurs during low-traffic periods
Solution Approach 1:
The patent implements dynamic capacity adjustment by allowing the CMTS system to scale bandwidth resources up or down based on real-time traffic conditions. The orchestrator continuously monitors traffic patterns and dynamically allocates bandwidth capacity, ensuring service quality during peak periods while reducing resource consumption during low-traffic periods.
Solution Approach 2:
The system changes the bandwidth capacity parameter dynamically based on traffic demand. The orchestrator adjusts bandwidth allocation parameters in response to varying subscriber traffic patterns, transforming the static bandwidth allocation into a dynamic parameter that adapts to changing conditions, thereby avoiding resource waste while maintaining service quality.
2Adaptability or versatility
If CMTS instances are dynamically spawned and switched during operation, then elastic capacity management is achieved, but traffic disruption may occur
Solution Approach 1:
The orchestrator performs preliminary actions by provisioning and synchronizing new CMTS instances before actual traffic switching occurs. This includes pre-configuring bandwidth capacity, synchronizing system states, and preparing routing paths in advance, so that when switching is needed, it can occur smoothly without disrupting subscriber traffic.
Solution Approach 2:
The orchestrator acts as an intermediary that manages the transition between CMTS instances. It coordinates the spawning, synchronization, and switching of instances, mediating the complex interactions to ensure that capacity adjustments occur without traffic disruption. The orchestrator maintains control plane continuity while data plane traffic flows uninterrupted.
3Adaptability or versatility
If multiple CMTS instances are synchronized and managed, then elastic scaling is enabled, but system complexity increases
Solution Approach 1:
The system implements self-service through automated orchestration. The orchestrator automatically manages the provisioning, synchronization, and coordination of multiple CMTS instances without requiring manual intervention. This automation handles the complexity of managing multiple instances, enabling elastic scaling while keeping operational complexity manageable through self-managing processes.
Data Source
AI summary
Elastic capacity management of remote physical layer (R-PHY) nodes with a cloud Cable Modem Termination System (cCMTS) may be provided. First, a cCMTS instance may be spawned by an orchestrator. Next, the cCMTS instance may be synchronized with states of a physical Cable Modem Termination System (pCMTS). Underlay routing may then be configured between a plurality of remote physical layer (R-PHY) nodes and the cCMTS instance. Then a plurality of R-PHY node connections respectively corresponding to the plurality of R-PHY nodes may be switched from the pCMTS to the cCMTS instance.