MPLS Connectivity Outage Detection via SLA Parameter Translation
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Solution Overview
Problem
Current network management systems lack effective methods to translate service level agreement (SLA) parameters into corresponding network conditions, making it laborious and error-prone to ensure connectivity outage detection and compliance, thereby increasing costs for service providers.
Innovation Solution
A method and system for detecting connectivity outages in MPLS cores based on SLA parameters, which involves receiving user-defined SLA parameters, determining probe intervals using specific relationships, and deploying probes to detect network connectivity outages within predetermined time frames, ensuring accurate and timely notifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If heuristic approaches based on prior experience are used for connectivity SLA monitoring, then service providers can implement monitoring without complex configuration, but the system cannot provide guaranteed service level compliance and increases operational costs
Solution Approach 1:
The patent introduces an intermediary translation layer that converts SLA parameters into network monitoring parameters. This mediator component automatically translates high-level SLA requirements (e.g., connectivity availability, response time) into specific network monitoring configurations without requiring manual intervention, thereby maintaining ease of operation while ensuring reliable SLA compliance through systematic parameter mapping
Solution Approach 2:
The system enables self-service by allowing SLA parameters to automatically generate their own monitoring configurations. The translation mechanism enables the monitoring system to configure itself based on SLA inputs, eliminating the need for manual network parameter configuration while ensuring accurate SLA compliance through automated parameter derivation
2Adaptability or versatility
If manual translation of SLA parameters to network conditions is performed, then service providers can customize monitoring to specific needs, but the process becomes laborious and error-prone
Solution Approach 1:
The translation mechanism serves as an intermediary that handles the complex mapping between SLA parameters and network conditions automatically. This mediator preserves adaptability by allowing custom SLA definitions while eliminating manual translation complexity through automated parameter conversion, reducing errors and simplifying the configuration process
Solution Approach 2:
The system applies parameter changes by transforming SLA parameters into corresponding network monitoring parameters through automated translation. This approach maintains adaptability by allowing different SLA parameter combinations while reducing complexity through systematic parameter transformation rules that eliminate manual configuration efforts
3Reliability
If comprehensive network monitoring is implemented to ensure SLA compliance, then service level guarantees can be fulfilled, but the system complexity and implementation difficulty increase substantially
Solution Approach 1:
The translation mechanism acts as an intermediary that simplifies the implementation of comprehensive monitoring by automatically generating appropriate monitoring parameters from SLA requirements. This mediator ensures reliable service level guarantees through systematic parameter mapping while reducing system complexity by eliminating manual configuration of monitoring parameters
Solution Approach 2:
The system implements self-service by enabling SLA parameters to automatically configure the monitoring system. This approach ensures comprehensive monitoring for SLA compliance while reducing implementation difficulty, as the system configures itself based on SLA inputs without requiring complex manual setup or deep network knowledge
Data Source
AI summary
Method and system for providing network connectivity outage detection for MPLS cores based on service level agreement (SLA) parameters including receiving a service level agreement parameter, determining a probe interval associated with the service level agreement parameter, and performing network connectivity outage detection based on the service level agreement parameter, is disclosed.