Cloud Zone Network Analytics Platform for Telecommunication Edge Devices
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Solution Overview
Problem
Telecommunication networks face challenges in real-time capabilities and scalability due to the large volume of control plane data, such as CDRs, which can lead to complex network management, especially with the virtualization of core network components, making it difficult to deploy policies effectively across edge devices.
Innovation Solution
A method and device for deploying policies determined from network analytics data to edge devices using an Apriori algorithm, which generates pattern matching rules, and utilizes cloud resource profiling and correlation to dynamically manage virtual network functions, ensuring safe application migration and resource allocation across zones.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If big data approaches are used to analyze large volume of control plane data, then comprehensive network analytics can be achieved, but real-time capabilities are lost due to data volume
Solution Approach 1:
The patent segments the network into multiple zones (source zone, destination zone, transit zones) and processes analytics data for each zone separately. This allows parallel processing of network analytics across different zones, improving real-time capabilities while handling large volumes of control plane data without centralized bottlenecks.
Solution Approach 2:
The patent introduces a spatial dimension to network analytics by distributing analytics processing across multiple zones rather than using a single centralized approach. This dimensional change enables concurrent analytics processing in different network regions, achieving real-time analysis despite large data volumes.
2Adaptability or versatility
If customized analytics are implemented for specific applications, then application-specific needs can be met, but scalability is reduced
Solution Approach 1:
The patent implements dynamic analytics processing where the analytics engine can adapt its behavior based on application requirements while maintaining a standardized zone-based framework. Each zone can dynamically adjust its analytics processing to meet specific application needs without requiring complete customization, preserving scalability.
Solution Approach 2:
The patent creates a universal zone-based analytics framework that can serve multiple applications and use cases. The same zone structure and analytics engine can handle different application requirements by configuring analytics parameters within the standardized framework, avoiding the need for separate customized systems for each application.
3Adaptability or versatility
If virtualization of core network components is implemented, then network flexibility is improved, but management complexity increases
Solution Approach 1:
The patent segments the virtualized network into distinct zones with clearly defined boundaries and responsibilities. This segmentation simplifies management by allowing each zone to be independently configured, monitored, and maintained, reducing the overall management complexity despite the flexibility provided by virtualization.
Solution Approach 2:
The patent introduces zone agents as intermediary components that manage communication and coordination between virtualized network components within and between zones. These agents simplify management by handling the complexity of virtualized component interactions through standardized interfaces and protocols.
4Loss of information
If centralized analytics processing is used, then comprehensive network visibility is achieved, but deployment of analytics policies to edge devices becomes difficult
Solution Approach 1:
The patent distributes analytics processing and policy enforcement across multiple zone agents located in different network zones rather than relying solely on centralized processing. This segmentation enables policies to be deployed locally at each zone agent, improving ease of deployment while maintaining comprehensive network visibility through coordinated zone agents.
Solution Approach 2:
The patent transitions from a single-dimensional centralized analytics architecture to a multi-dimensional distributed architecture where analytics processing occurs across multiple zones and hierarchical levels. This dimensional change enables policies to be deployed and enforced at the network edge while maintaining centralized coordination for overall network visibility.
Data Source
AI summary
A processing system including at least one processor may obtain first network analytics data from a plurality of zones of a telecommunication network, generate a set of policies from the first network analytics data via an apriori algorithm, where each policy in the set of policies comprises a pattern matching rule, and deploy policies of the set of policies to a plurality of edge devices in respective zones of the plurality of zones of the telecommunication network. The processing system may further receive, from at least one of the plurality of edge devices in one of the plurality of zones, a first alert of a first policy trigger of a first policy of the set of policies, and transmit a notification to a software defined network controller of the first policy trigger.