Intelligent core

A3:
ANALYTICS, AI & AUTOMATION

Our D&D core gathers meta-data that feeds into AI driven analytics and automation engines

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Intelligent core

COMPREHENSIVE sensing

Tambora D&D core senses multi-dimensional data across the ecosystem:

  • From the mobile using Tambora APP

  • From CDN or Content servers using standard API

  • From the mobile network by querying the control plane elements

  • From the mobile network through the built-in data plane probe

With this integration our D&D core enables cost effective hyper-scaling and new edge services

RESOURCE
OPTIMIZATION

For example, RAN resources are optimized through appropriate allocation based on user application. This intelligence, that RAN lacks, is provided by our solution.

SMART
SLICING

Micro and Nano cells gain mobile core processing, enabling new LBO and MEC services catering to web scalers.

More tambora D&D core attributes 

D&D core attributes 

Distributed core

EDGE CLOUD
TODAY IN 4G

Our D&D core enables new business models for edge cloud providers

It is designed to make edge more economical than public cloud

Disaggregated CORE

SOFTWARE UNBUNDLING

Our D&D core provides a suite of micro-services based software modules

That are designed to create the full range of 3GPP mobile core products

Integrated CORE

CREATE
EDGE FOG

Integrated RAN & core at the edge, saves access densification costs and enables new edge services

First in the industry capability, provides ultimate scalability & flexibility

Intelligent core

HOW THE META-DATA DRIVES COST SAVINGS AND NEW SERVICES

Our solution cross-correlates the rich sensory data from various sources across the ecosystem, in multiple dimensions.

This meta-data is used for resource optimization at RAN, core and data center, result in cost savings.

The meta-data is also used for new services based network slicing in both 4G and 5G.

Tambora has patents for utilizing meta-data for resource optimization and network slicing.

  • Subscriber

    Mobile IP, MSISDN, IMSI, IMEI, ICCID etc.

  • Application 

    APPID, Bandwidth, QoS etc

  • Network

    Traffic load, resources consumed, resources available etc.

  • Device

    Type, location, operating system etc

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