• Explosive growth
• Historically, applications and data contained within silos
• Proprietary & standardized data
• Multiple geographically dispersed networks
• Evolving towards layered architecture with diversified applications accessing relevant, real-time data
Landscape
Collection Extraction Filtering
Network
Applications, Analytics & Storage
Queuing & Distribution Point
Clo
ud
Lo
cal / R
egio
na
l
Policy & Mediation Engine
3G LTE IP
• Data Storage • Applications • Analytics
Data Consumers
Logical View
• Data Collection • Geographical distributed data collection • Extract and Filter to provide relevant data
• Real-time Message Queuing • Manages subscribers and providers • Supports point-to-point and publish-and-
subscribe routing
• Policy and Mediation • Dynamic Policy Engine • Correlation, reduction and normalization
Functions
LTE 3G IP
Extracted Data Provider
Data Extraction
Flat Files /
Syslog
3GPP
IPFIX
Extracted Data Provider
Data Extraction
Flat Files /
Syslog
3GPP
IPFIX
Extracted Data Provider
Data Extraction
Flat Files /
Syslog
IPFIX
SNMP
Data Correlation, Reduction,
& Normalization
Extracted Data
Normalized Data
• Data Storage • Applications • Analytics
Data Consumers
Implementation
• Shield the complexity of the networks and data from the applications
• Layered architecture allows insertion of custom functions
• Ultimately, provide exchange point for subscribers to access relevant real-time data from providers.
Benefits
Thank You!
Big Data: Relevant and Real-time
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