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Graph-Based Network Topology Analysis for Telecom Operators
1.
© 2022 Neo4j,
Inc. All rights reserved. © 2022 Neo4j, Inc. All rights reserved. Graph-Based Network Topology Analysis for Telecom Operators Andreas Lattoch, Sopra Steria Franziska Schmidt, Sopra Steria
2.
© 2022 Neo4j,
Inc. All rights reserved. 2 DIGITALIZATION INCREASES NUMBER OF DAILY NETWORK CHANGES What do we do Who are we Franziska Schmidt Likes relational databases, loves graph databases Andreas Lattoch Clones Telecom-Networks into Graphs 2500 Telecom FTE Banking Public Sector Insurance Aerospace Automotive & Industrial Goods Telecom & Media Energy & Utilities • We do IT Strategy, Consulting, and Solution Development • We are 2500 consultants in the Telecom & Media vertical • We work with clients across Europe
3.
© 2022 Neo4j,
Inc. All rights reserved. 3 EVER TRIED TO CHANGE A TIRE WHILE DRIVING?
4.
© 2022 Neo4j,
Inc. All rights reserved. 4 OUR CLIENTS CHANGE THEIR RUNNING NETWORK EVERY DAY Our clients include the top telecom providers in Germany: 1000 NETWORK CHANGES AND MANUAL DATA ENTRIES EVERY DAY 80% OF NETWORK OUTAGES DUE TO CHANGES $7bn COMBINED ANNUAL INVESTMENT OF TELECOM PROVIDERS* * Data from annual reports of Telekom, Vodafone und Telefónica from 2020
5.
© 2022 Neo4j,
Inc. All rights reserved. 6 NETWORK CHANGES REQUIRE VIEW OF THE ACTUAL NETWORK SOFTWARE ENGINEERING NETWORK SERVICE CREATION Planned models Actual artifact Testing & Validation e.g., UML Class Diagram Code e.g., IntelliJ IDEA Diagrams Network Topology Planning Network Configuration ?
6.
© 2022 Neo4j,
Inc. All rights reserved. 7 DEVELOPMENT OF INTELLIGENT NETWORK ANALYZER (INA) Data Extraction Graph Compilation Network Visualization Network Analytics APPRAOCH OUTCOME • Import of >60 data source classes and >100 device types • Daily updated real network data source • Close collaboration with network experts • Reuse existing systems wherever possible • Utilize established browser-based framework • Create click menu where entries represent use cases and execute neo4j queries • Combine telecom know- how and neo4j functionality • Fuse topology and performance data • Self-explanatory data model for engineers • Fast end-to-end querying • Easily customizable network visualization • Performant rendering of complex graphs • Use case driven visualization of network areas with customizable highlighting
7.
© 2022 Neo4j,
Inc. All rights reserved. 8 ARCHITECTURE OF INA UTILIZES GREAT FRAMEWORKS Antennas Switches Router Data extraction > 60 Data source classes Graph database Config, Status, Traffic Data Frontend Customizable visualization Analytics AI driven traffic routing
8.
© 2022 Neo4j,
Inc. All rights reserved. 9 INA: CUSTOMIZABLE NETWORK VISUALIZATION & ANALYTICS TOOL Customizable icons for your own visualization needs Fast and intuitive rendering of complex graphs. Predefined analysis options via parametrized queries executable on nodes Telco specific visualizations such as connection utilization
9.
© 2022 Neo4j,
Inc. All rights reserved. 10 SHIFT FROM MANUAL DOCUMENTATION TO DIGITAL TWIN Before: Manually maintained network documentation With INA: Daily updated digital twin of network topology
10.
© 2022 Neo4j,
Inc. All rights reserved. 11 FROM CONNECTED DEVICES TO TRAFFIC FLOWS Connecting the dots is not enough… …to identify potential root causes ?
11.
© 2022 Neo4j,
Inc. All rights reserved. TRAFFIC ROUTING IS BASED ON GRAPH ALGORITHMS Example of traffic taking weighted shortest path Why care about routing paths? 2 Gigabit / Weight: 50 0.5 Gigabit / Weight: 200 10 Gigabit / Weight: 10 Identification of all possible problem sources Starting point for network simulation End-to-end traffic intelligence
12.
© 2022 Neo4j,
Inc. All rights reserved. 13 IT AIN‘T THAT EASY IN REALITY – IF YOU DON‘T USE NEO4J Example real world network Complicating factors • Network divided in subnetworks with different transfer points • Paths with equal total weights • Inactive connections • Inclusion of all real word data • Performant calculation of weighted shortest path • User friendly data processing No problem with Neo4j
13.
© 2022 Neo4j,
Inc. All rights reserved. © 2022 Neo4j, Inc. All rights reserved. 14 DEMO
14.
© 2022 Neo4j,
Inc. All rights reserved. 15 I'M SITTING HERE IN TRAFFIC ON THE QUEENSBORO BRIDGE TONIGHT ROAD NETWORK ROUTER NETWORK Default routes cause congestion Smart rerouting Optimal infrastructure utilization INA Graphics from: https://www.frontiersin.org/articles/10.3389/fict.2017.00029/full
15.
© 2022 Neo4j,
Inc. All rights reserved. 16 TRAFFIC OPTIMIZATION IN PRACTICE 5 possible paths for each end point… Simulated annealing solves optimization challenge Brute force calculation of all combinations would take ~25 years at 1ms per configuration 800bn possibilities ~25y to calculate all possibilities ~60s to find good optimum Simulated annealing finds optimal solution within 60 s after 1000 tested combinations Task: assign yellow backbone router to blue router so that utilization is minimized Possible combinations: 517 = 800bn
16.
© 2022 Neo4j,
Inc. All rights reserved. 17 OPTIMIZED ROUTING REDUCES PEAK UTILIZATION BY 15% Unoptimized network with overloaded connections Optimized network has no overloaded connections
17.
© 2022 Neo4j,
Inc. All rights reserved. 18 DISCOVERY, ANALYSIS, AND OPTIMIZATION OF NETWORKS WITH INA Discovery Analysis End-to-end analysis Topology discovery Optimization Optimization based on simulations
18.
© 2022 Neo4j,
Inc. All rights reserved. © 2022 Neo4j, Inc. All rights reserved. 19 Thank you! For feedback or question contact us via LinkedIn or our colleague Annika annika.riebschlaeger@soprasteria.com
19.
© 2022 Neo4j,
Inc. All rights reserved. © 2022 Neo4j, Inc. All rights reserved. 20 Q&A
20.
© 2022 Neo4j,
Inc. All rights reserved. © 2022 Neo4j, Inc. All rights reserved. 21 Thank you! For feedback or question contact us via LinkedIn or our colleague Annika annika.riebschlaeger@soprasteria.com
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