Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Network Intelligence

1,666 views

Published on

Presentation given at the 4G Wireless Evolution Conference in Miami, January 21, 2010

Published in: Technology, Business
  • Be the first to comment

  • Be the first to like this

Network Intelligence

  1. 1. Network Intelligence Mauricio Arango Sun Microsystems January 21, 2010
  2. 2. Introduction • Telco industry needs to steer away from "dumb pipe provider" concerns and focus on smart networks • Business reality presents large challenges and opportunities • Smart telco networks are about extracting higher business value from network infrastructure – via Network Intelligence layer
  3. 3. 4G Business Challenges and Opportunities • Faster pace of business with more dynamic & complex network – Smartphones – Device-based applications – Femtocells • Enhaced service quality and customer experience
  4. 4. 4G Business Challenges and Opportunities • Increased regulation – Higher operations visibility – Restrictions while driving • Interaction with other complex systems – Transportation – Power grid – Social networks
  5. 5. Need for Network Intelligence layer • Extract higher business value from network events in realtime via: – Continous monitoring – Simplified integration of network and business application layers – event-driven – Connecting dots in realtime – correlation
  6. 6. Network Intelligence builds on: • Business Intelligence • Performance monitoring • Traffic monitoring • Fault management • Policy-based management • Deep Packet Inspection (DPI)
  7. 7. Network Inteligence adds: • Sharing of events across management silos • Connecting dots in realtime – event correlation • Integration of business processes with network operations processes • Event-driven architecture
  8. 8. SLA management use case - consumer mobile broadband • access throughput, Service level guarantees: packet loss, latency, jitter • Monitoring via: DPI, device agent • SLA tracker – detects SLA violation events • Integrates: CRM, billing, device management, service portal, data warehouse
  9. 9. SLA management use case - consumer mobile broadband Event stream processing app (CEP) Data SLA Service CRM Billing warehouse Tracker Portal SLA violation event Event routing – Messaging system Packet loss & delay Throughput measurement measurement Device DPI Mgmt
  10. 10. Service restriction while driving use case • Block usage while user is in a moving motor vehicle • Monitor: device location, vehicle device presence
  11. 11. Service restriction while driving use case Event stream processing app (CEP) In-vehicle Data Service usage tracking & CRM warehouse Portal restriction Disable Enable device event device event Event routing – Messaging system Location change In-vehicle presence event event In-vehicle Location Device presence collector Mgmt collector
  12. 12. Service problem monitoring via social networks • Identify potential service problems by from patterns of communication in social networks such as Twitter • Search for keywords related to service problems, track over time and location • Generate trouble investigation events
  13. 13. Service problem monitoring via social networks Event stream processing app (CEP) Problem Data Text streams investigation warehouse tracking workflows Investigation event Event routing – Messaging system Twitter event collector
  14. 14. Technologies and Products for Network Intelligence • Event stream processing – Complex event processing (CEP) • Application servers • Messaging middleware • Data caching – fast access to state info • Databases
  15. 15. Event-driven Architecture Event Event consumer consumer • Simplified integration via decoupling between producers & consumers Event routing • Producers don't know about consumers and Event Event viceversa consumer/ consumer/ producer producer • Events are common info • Horizontal scaling Event routing Event Event producer producer
  16. 16. Conclusions • Smart not dumb networks – higher complexity of network infrastructure • Extraction of higher business value from network requires new functional layer – Network Intelligence (NI) • NI offers simplified integration via Event- driven Architecture • NI enables realtime analysis via Complex Event Processing

×