Cirries Big Data: Relevant and Real-time

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With today's explosive growth of data, networks are now connected to machines (M2M). This technology is being used and has become critical for development across every industry including energy, healthcare, retail, transportation, and utilities. However, each industry has its own types of connected machines and devices. Each kind may utilize a small or large amount of data and, depending on location and mobility, require different access technologies (2G SMS, 3G data services, 4G LTE). In addition, applications that deliver M2M services become too complex if they need to support such a wide variety of access technology protocols. Network operators need to interwork with all the 2G, 3G and LTE protocols and provide a simple, access-independent interface to M2M applications. Designed to deliver instant access to all the raw data in massive data stream, Maestro is a flexible and powerful software platform that monitors, collects, and responds to all information the network generates or that is coming across the network from users, devices, or machines. It is an integrated, end-to-end, real-time solution for network data delivering the following core capabilities: - Extending 2G M2M applications to 3G and 4G access technologies. - Developing an M2M application once and reusing it in all access networks. - Developing one converged M2M application.

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Big Data: Relevant and Real-time

Rick Aguirre

Rick.Aguirre@cirries.com

• 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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