EPN Manager: a tool for predictive topology risk analysis and integrated packet/transport management

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2 BRKNMS-2303 EPN Manager: a tool for predictive topology risk analysis and integrated packet/transport management Domenico Zini, Cisco, Senior Product Manager Owais Khalid, Cisco, Senior TME

3 Cisco Spark How Questions? Use Cisco Spark to communicate with the speaker after the session 1. Find this session in the Cisco Live Mobile App 2. Click Join the Discussion 3. Install Spark or go directly to the space 4. Enter messages/questions in the space cs.co/ciscolivebot#brknms Cisco and/or its affiliates. All rights reserved. Cisco Public

4 Agenda EPNM introduction EPNM Multi-Layer network operations EPNM Geo Topology with Fibers inventory Demo of EPNM as Fiber break locator tool Demo of EPNM as predictive fiber cut tool EPNM Multi-Layer Assurance Conclusion

5 Network Automation at Scale Agility Quality Productivity Services IP MPLS Planning & Optimize Vendor-1 Management Tunnel Optical Vendor-2 Management Service Activation Increased Network Complexity and Scale. Multiple organically grown and silo management stacks Operations Islands and lack of coordination across teams Multi-Layer Operations Continuous Integrated Multi- Domain Visibility Automate The Process" Intent Driven Network Operations BRKNMS Cisco and/or its affiliates. All rights reserved. Cisco Public 5

6 EPN-M in Intent-based Network Operations Lifecycle Plan & Design (Establish the Intent) WAE Optimize (Optimize the Intent) WAE+XTC AUTOMATION & ANALYTICS PLATFOTM Validate & Implement (Deploy the Intent) NSO, VTS, Morph EPN-M EPNM, Pulse Operate (Monitor the Intent) BRKNMS Cisco and/or its affiliates. All rights reserved. Cisco Public 6

7 Multilayer Visualization Geographic Map with full network topology Service focused views that span across layers Multilayer troubleshooting visualizations EPNM Multilayer Network Operations

8 What does operate a multilayer network mean The Problem: Lack of network visibility and topology generate a sub-optimal network utilization and raise the cost for routine maintenance work The Solution: Correlate GIS based inventory and HW utilization to services leveraging topology information The Value: Reduce the cost of operating the network enabling automation. BRKNMS Cisco and/or its affiliates. All rights reserved. Cisco Public 8

9 Visualization of Fibers on Geo Map Inventory of fiber ducts Free text fields to store strand usage Geo visualization of fiber ducts Import and export using.kml format BRKNMS Cisco and/or its affiliates. All rights reserved. Cisco Public 9

10 OTDR and fiber break locator tool Intuitive selection of OTDR Zone and Scan properties Integration of Scan result and Geo map A scan measurement is translated into a street address. BRKNMS Cisco and/or its affiliates. All rights reserved. Cisco Public 10

11 SRLG Assignement Fiber-ducts geo information allows to identify resources that shares the same risk (i.e., same fiber duct) Managed links can be associated to fiber ducts Links that share a duct or portion of it share also the same risk UI to easily assign SRLG BRKNMS Cisco and/or its affiliates. All rights reserved. Cisco Public 11

12 Geo localization of fiber OTDR results

13 OTDR Basics The OTDR behaves like a radar in the optical domain. A probe optical pulse is launched from one fiber s end the resulting back-scattered light is measured against time (or distance from source). The measurement provides: Fiber length Fiber type (att. Slope) Position and loss / reflections of optical connectors Position and loss of splices Visual feedback of any concentrated event. BRKNMS Cisco and/or its affiliates. All rights reserved. Cisco Public 13

14 EPNM and OTDR EPNM actively monitors devices and device s configuration EPNM can understand what ports are connected via fibers (OTS links) using OSC out of band channel and OSPF OTDR scan can be performed on OTS links Fiber Geographic information can be associated to OTS links BRKNMS Cisco and/or its affiliates. All rights reserved. Cisco Public 14

15 EPNM and OTDR scans Each OTS link is bi-directional representing a fiber pair Each fiber can be measured in both direction (OTDR scans are more accurate in the first part of the fiber) 4 measurements can be done on each OTS link BRKNMS Cisco and/or its affiliates. All rights reserved. Cisco Public 15

16 EPNM Correlates OTDR scan results with geographic information EPNM calculate the location of any scan event EPNM uses a proprietary algorithm to hand fiber segments, missing fibers information, An accuracy information is provided with the location BRKNMS Cisco and/or its affiliates. All rights reserved. Cisco Public 16

17 OTDR Demo and Behind the Scenes

18 Geographic data Import and Export EPNM is compatible with Keyhole Markup Language (KML) KML was developed for use with Google Earth, which was originally named Keyhole Earth Viewer. It was created by Keyhole, Inc, which was acquired by Google in 2004 BRKNMS Cisco and/or its affiliates. All rights reserved. Cisco Public 18

19 Data Forrmat: Device/s location <Placemark> <name>capri</name> <ExtendedData> <Dataname="nodeIpAddress"> <value> </value> </Data> </ExtendedData> <Point> <coordinates>15.65, </coordinates> </Point> </Placemark> BRKNMS Cisco and/or its affiliates. All rights reserved. Cisco Public 19

20 Data Format: Fiber path/s <Placemark> <name>fibra-ravello-napoli</name> <description>description:<br>segmentlengthmetres: </description> <ExtendedData> <Dataname="segmentLengthMetres"> <value> </value> </Data> </ExtendedData> <LineString> <coordinates> , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , </coordinates> </LineString> </Placemark> BRKNMS Cisco and/or its affiliates. All rights reserved. Cisco Public 20

21 Data Format: association between logical and physical path <name>links association info</name> <!-- One link association per folder. "name" must be linkassociation. Link association folder can be in any hierarchy level in this document --> <Folder> <name>linkassociation</name> <ExtendedData> <!-- Specify the segments in the sequence that matches the A to Z path of the link --> <Dataname="segments"> <value>fibra-camerota-capri</value> </Data> <!-- At minimum, specify the IP address of the A and Z sides of the link. If no other information is specified (nodeainterfacename, nodezinterfacename, linktype), the system will automatically associate to the first available OTS link between the two specified nodes. --> <Dataname="nodeAIpAddress"> <value> </value> </Data> <Dataname="nodeZIpAddress"> <value> </value> </Data> </ExtendedData> </Folder> BRKNMS Cisco and/or its affiliates. All rights reserved. Cisco Public 21

22 Geographic Coordinates system used in EPNM EPNM uses the Latitude and Longitude as Geographic system (same as GPS and many map providers) with 3 different notations degrees minutes seconds (DMS): N E. used optionally for compatibility degrees decimal minutes (DDM): N E. displayed in all panels decimal degrees(dd): (+/-) (+/-) used in the internal model BRKNMS Cisco and/or its affiliates. All rights reserved. Cisco Public 22

23 Why 3 different notation? degrees minutes seconds (DMS): N E. used optionally degrees decimal minutes (DDM): N E. displayed in all panels decimal degrees(dd): (+/-) (+/-) used in the Internal model DD is easier for calculation Why using degree, minutes and seconds then? DDM is the format used in navigation Hint DMS is the old school navigation BRKNMS Cisco and/or its affiliates. All rights reserved. Cisco Public 23

24 Why using degree, minutes and seconds then? Latitude and longitude are measurement of angles One of the oldest angular unit is the degree that uses the sexagesimal system Sexagesimal (base 60) is a numeral system with sixty as its base. It is an ancient Sumerians eritage in use in the 3rd millennium BC Sexagesimal system is still in use today for angles and time, because 60 is a Superior highly composite number (also 360) it has a lot of divisors It is common sense to use quarters of an hour when reading an analog clock. A nautical mile is defined as one minute of latitude (1852 m, versus the terrestrial mile 1609 m, that is deined as mille passi of a Roman soldier) BRKNMS Cisco and/or its affiliates. All rights reserved. Cisco Public 24

25 EPNM as predictive fiber cut tool

26 Prediction of fiber cuts Statistically identify events that can lead to a fiber cut In our scenarios we have identified that in a metro optical network, fiber cuts frequently happen at construction sites or roadworks Select a source of information with planned and active constructions/road work sites e.g. municipality public databases, social media and navigation apps Correlate above information with customer services EPNM can identify fiber ducts laid in proximity of a work site and find the associate services Impact analysis can be performed on existing services or new services can be routed away from the work site BRKNMS Cisco and/or its affiliates. All rights reserved. Cisco Public 26

27 Path calculation Centralized PCE vs distributed Control Plane EPNM uses an externals PCE to pre-calculate the paths of DWDM circuits EPNM provisioning EPNM Inventory DWDM Network WSON PCE WSON algorithm Calculated path is used as constraints for the WSON (DWDM Control plane) Constraints can be include, exclude or he full explicit path The DWDM circuits is in any case a signaled circuit Include constraints are hard and remain part of the circuit itself Restoration function is performed by the distributed WSON BRKNMS Cisco and/or its affiliates. All rights reserved. Cisco Public 27

28 Predictive Fault Detection Demo Work site information are retrieve from a traffic map The fiber duct geo information of EPNM allow to correlate to services New circuits can be routed away from the risky link using the Optical PCE WSON can be use to re-route and re-tune existing circuits BRKNMS Cisco and/or its affiliates. All rights reserved. Cisco Public 28

29 Demo A Predictive Fault Detection Scenario

30 Operational Efficiency High Network Automation Phases Today Today s products (EPNM, WAE, NSO) Offline Optimization Config Abstraction Reactive Visibility (i.e. Visualization used for monitoring and troubleshooting) Inventory/Topo Discovery & Common Model Device/Configuration onboarding Correlate, detect and notify to OSS common failure scenarios (i.e. Fiber Cut) Aggregate/Visualize metric data per region, device, interface Planning and Optimization (offline) Semi-Automated ML Restoration Telemetry based visibility Optical Controller Service Discovery & Common Model KPI, Alarm correlation to Network, Service, Cust. ML Topology enriched visual. (with Alarms and KPIs) Predictive Fault Detection Automated ZTD SDK for North/South integration enablement Detect & mitigate using knowledge DB & Telemetry Real-time ML Network Resilience and Optimization Common User Experience Proactive Self Driving Networks Prescriptive Enable New Services Self Driving & Turnkey Service driven operations Continuous Service Delivery Fast Service Agility Low Descriptive Phase 1 Phase 2 Phase 3 Phase 4 Slow BRKNMS Cisco and/or its affiliates. All rights reserved. Cisco Public 30

31 EPNM Service Assurance

32 EPNM Service Assurance EPNM Topology Provides an accurate pictorial and geographic representation of a network based on geographic coordinates Service Overlay Displaying an intuitive mechanism of visualizing new and existing services Multilayer Trace Logically tracing an end to end service while providing real time troubleshooting and deeper impact analysis Service Dashboards Providing detailed metrics and visual graphs for trend analysis BRKNMS Cisco and/or its affiliates. All rights reserved. Cisco Public 32

33 EPNM Topology Provides functions such as filtering, viewing, changing zoom levels and layouts Have a complete view of the entire network or specific areas Fully interactive view providing key details such as service information, device and link status and alarms BRKNMS Cisco and/or its affiliates. All rights reserved. Cisco Public 33

34 Service Overlay Provides a visual reference that traces a service from its source to destination BRKNMS Cisco and/or its affiliates. All rights reserved. Cisco Public 34

35 Multilayer Trace Provides an in-depth single view of how a service traverses through multiple logical layers Real-time fault and alarm information for troubleshooting Performance metrics such as power levels and span loss for deeper impact analysis BRKNMS Cisco and/or its affiliates. All rights reserved. Cisco Public 35

36 Service Dashboards Provide key performance metrics for service assurance and SLA s Ability to perform trend analysis by traversing up to a year worth's of data BRKNMS Cisco and/or its affiliates. All rights reserved. Cisco Public 36

37 Key Takeaways

38 Summary - The BIG 5 Impact Multilayer (ML) Network visibility Proactive and Reactive assurance Agility through Programmability Network Convergence Automation Improve Customer Experience Maintain the network efficient Accelerated Service Delivery Manage Multiple Domains Reduce errors and create efficiency BRKNMS Cisco and/or its affiliates. All rights reserved. Cisco Public 38

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42 Thank you

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