Machine learning for optical networking: hype, reality and use cases
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Danish Rafique's ECOC workshop explored how machine learning can bring cognitive capabilities to optical networks, creating simpler operations and greater efficiency than threshold-based systems.
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Machine learning for optical networking: hype, reality and use cases
- 1. Machine learning for optical networking Danish Rafique Principal engineer, advanced technology, ADVA Hype, reality and use cases
- 2. © 2018 ADVA Optical Networking. All rights reserved.22 AlphaGo beats Ke Jie https://www.theguardian.com/technology/2017/may/23/alphago-google-ai-beats-ke-jie-china-go TRUTH Narrow AI Deep learning No DANGER detected
- 3. © 2018 ADVA Optical Networking. All rights reserved.33 AI bots shutdown FICTION Narrow AI Reinforcement learning No DANGER detected
- 4. © 2018 ADVA Optical Networking. All rights reserved.44 Online recommendations TRUTH Narrow AI Collaborative learning No DANGER detected
- 5. © 2018 ADVA Optical Networking. All rights reserved.55 Skynet – Terminator FICTION General AI Deep learning ?
- 6. © 2018 ADVA Optical Networking. All rights reserved.66 Telecom perspective Data analytics in telecom2Business models challenged1 Manufacturing Banking Telecom 2013 2015 2017 2019 2021 Hardware innovations Software innovations
- 7. © 2018 ADVA Optical Networking. All rights reserved.77 1. Digitalization A. Terminologies B. Workflow C. Example 2 .ML in networking A. Use cases B. NMS integration 3. Proof-of-concept A. Cognitive assurance B. Results 4. Takeaways Agenda
- 8. © 2018 ADVA Optical Networking. All rights reserved.88 © 2018 ADVA Optical Networking. All rights reserved. Confidential.8 Digitalization
- 9. © 2018 ADVA Optical Networking. All rights reserved.99 Landscape Artificial intelligence Big data analytics Data mining Artificial intelligence Machine learning Deep learning
- 10. © 2018 ADVA Optical Networking. All rights reserved.1010 Machine learning taxonomy
- 11. © 2018 ADVA Optical Networking. All rights reserved.1111 Workflow Data sources Training set Evaluation set Data processing Data processing Feature engineering Feature management Algorithm selection Learn patterns Model application Analysis and visualization “Apple” Shape, color, etc. Labels Train Test
- 12. © 2018 ADVA Optical Networking. All rights reserved.1212 Spiral patterns – algorithms Neural networks Tree-based Random forest Regression Y-axis Y-axis Y-axis Y-axis X-axis X-axis X-axis X-axis
- 13. © 2018 ADVA Optical Networking. All rights reserved.1313 Hype and reality The hype • Data flood transforms into insight • Exploration without boundaries • Black-box will address most use cases The reality • Analytics application stack is complex • Data is highly fragmented • New skill sets • Difficult to know where to start (and finish)
- 14. © 2018 ADVA Optical Networking. All rights reserved.1414 © 2018 ADVA Optical Networking. All rights reserved. Confidential.14 Machine learning in networking
- 15. © 2018 ADVA Optical Networking. All rights reserved.1515 Data analytics in networking Pattern recognition Optimization Anomaly detection Prediction Network complexity, monitoring and analysis Black boxes across several architectures Traffic volume, type, etc. Network behavior analysis Network behavior generalization Extent of data sources Planning and optimization
- 16. © 2018 ADVA Optical Networking. All rights reserved.1616 Evolution of network management
- 17. © 2018 ADVA Optical Networking. All rights reserved.1717 Platform – SDN (“self-defined networking”)
- 18. © 2018 ADVA Optical Networking. All rights reserved.1818 © 2018 ADVA Optical Networking. All rights reserved. Confidential.18 Proof-of-concept
- 19. © 2018 ADVA Optical Networking. All rights reserved.1919 Use case ― predictive maintenance Year-Months Days-Hours Minutes Physical Degradation Modes Equipment Dynamic Modes Failure Modes
- 20. © 2018 ADVA Optical Networking. All rights reserved.2020 Topology map Legacy Networking Cognitive Networking
- 21. © 2018 ADVA Optical Networking. All rights reserved.2121 Architecture • Ubuntu 16.04.2 • E5 1620 CPU 3.6GHz, 8GB RAM • 12 hour bins • Deviation tests • Memory length, 11units • Statistical significance 95% • Neural network • 1 hidden layer • (7,5,1)
- 22. © 2018 ADVA Optical Networking. All rights reserved.2222 Algorithm and sequence flow
- 23. © 2018 ADVA Optical Networking. All rights reserved.2323 a Undetected below set point Alarm level Threshold-driven Reactive system Sample A (label I) Sample B (label III) Sample C (label II) Sample D (label II and IV) Receivedopticalpower[dBm] normalizedto-1dBm Traversed time [12 hour bins] Cognitive fault detection – threshold Single alarm level is used due to data normalization (for better visualization). In practice, several levels are required to be defined and maintained
- 24. © 2018 ADVA Optical Networking. All rights reserved.2424 Sample A (label I) Sample B (label III) Sample C (label II) Sample D (label II and IV) b undetected undetected ML-driven proactive system Receivedopticalpower[dBm] normalizedto-1dBm Traversed time [12 hour bins] undetected II II & IV II Cognitive fault detection – ML
- 25. © 2018 ADVA Optical Networking. All rights reserved.2525 Quantitative analysis
- 26. © 2018 ADVA Optical Networking. All rights reserved.2626 © 2018 ADVA Optical Networking. All rights reserved. Confidential.26 Takeways
- 27. © 2018 ADVA Optical Networking. All rights reserved.2727 Takeaways • Artificial intelligence ≠ machine learning • Diverse requirements and areas to look into – for meaningful application • Machine learning brings cognitive capabilities to optical networks • Simpler operation is a real opportunity • PoC shows substantial improvements over conventional threshold-based systems
- 28. © 2018 ADVA Optical Networking. All rights reserved.2828 Food for thought https://www.linkedin.com/pulse/deconstructing-digitalization-wave-danish-rafique-ph-d- http://blog.advaoptical.com/en/About/danish-rafique.aspx
- 29. Thank you IMPORTANT NOTICE The content of this presentation is strictly confidential. ADVA Optical Networking is the exclusive owner or licensee of the content, material, and information in this presentation. Any reproduction, publication or reprint, in whole or in part, is strictly prohibited. The information in this presentation may not be accurate, complete or up to date, and is provided without warranties or representations of any kind, either express or implied. ADVA Optical Networking shall not be responsible for and disclaims any liability for any loss or damages, including without limitation, direct, indirect, incidental, consequential and special damages, alleged to have been caused by or in connection with using and/or relying on the information contained in this presentation. Copyright © for the entire content of this presentation: ADVA Optical Networking. drafique@advaoptical.com