Topology-Based Correlation
Pinpoint service-impacting alarms and identify root causes in real time across complex, multi-vendor networks.
Automated Root Cause and Service Impact Analysis
Enghouse Topology-Based Correlation provides automated root cause analysis with service and customer impact visibility using topology-based correlation techniques.
The solution integrates with the Enghouse Service Assurance database, which maintains physical and logical network topology. It can also integrate with existing network inventory systems or external resource databases to support dynamic topology models.
By correlating alarms with real network relationships, operations teams can quickly identify the true source of issues, understand downstream impact, and focus on events that matter most.
Key Benefits
Capabilities / Key Features
Scenario: Operations teams managing large, multi-vendor networks struggle with alarm floods that obscure the real cause of service outages, leading to delayed resolution and customer dissatisfaction.
Solution with Topology-Based Correlation: By correlating alarms using real-time topology data, Enghouse Topology-Based Correlation filters out non-impacting events, identifies the true root cause, and highlights affected services and customers.
Results: Faster fault resolution, reduced alarm fatigue, and improved service reliability.
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Technical Overview / Architecture
Topology-Based Correlation is built on Enghouse’s modular, standards-based OSS Service Assurance architecture.
Each module scales independently, allowing operators to deploy a complete pre-integrated stack or individual components as needed – without relying on monolithic system designs. The solution is optimized for highly complex, multi-protocol, multi-vendor networks.
Why Choose Topology-Based Correlation
Designed for complex, multi-domain networks
Native integration with Enghouse Service Assurance
Proven topology-based RCA techniques
Reduces alarm fatigue and MTTR
Scales independently as networks evolve
Resources
Featured Document
Building AI-Native Networks Through Intelligent Assurance - Frost & Sullivan
As networks grow in scale and operational complexity, service assurance must evolve beyond reactive monitoring. This vBook examines how AI-native, cognition-led assurance is being applied in practice — what it means for day-to-day network operations, where service providers are starting, and how assurance supports automation and operational resilience.
FAQs
Topology Based Correlation
Topology-based correlation uses physical and logical network topology to relate alarms and events, enabling accurate root cause and service impact analysis.
By correlating events across topology layers, the system filters out secondary alarms and highlights only service-impacting issues.
Yes. The solution integrates with the Enghouse Service Assurance database or third-party inventory and resource management systems.
Yes. It is designed for highly complex, multi-vendor and multi-protocol environments.
Yes. The system supports automated notifications, escalations, and actions to streamline trouble management.
