TRANSFORMING THE MOBILE CUSTOMER EXPERIENCE

Machine Learning from Real-Time Performance Visibility

MWC 2017Patrick Ostiguy President & CEO

NETWORK PERFORMANCE VISIBILITY

Countries 81

Top 20 MNOs 80%

Founded 2004 Measurementsper Day

1.5B

Monitoring Sessions 2M

CLOSING THE LOOP ON SELF-OPTIMIZATION

Nervous System

Real-Time Visibility

Responsive Control

SDN + NFV

Decision Making

Analytics & Machine Learning

SELF-OPTIMIZINGMOBILE NETWORK

MACHINELEARNING

is

5Gto

ESSENTIAL

sense

“think”

do

Fueled by

Data

Accelerated by:

MACHINE LEARNING NEEDS VISIBILITY

Learn Refine

The Invisible Becomes Visible

Not SufficientWithout

MACHINE LEARNING NEEDS HIGH RESOLUTION

sec

Packet Loss

t = 15

sec

Packet Loss

t = 1

MICRO-IMPAIRMENTS

BIG IMPACT

End-User Throughput

80% ↓

Packet Loss(X1 Interface)

10

0%

Latency(X2 Interface)

40% ↓10

0%

End-User Throughput

2% 6 ms

250k

1Trillion

ACTIONABLE INSIGHTS DRAMATIC GAINS

Throughput Target Optimized

37%X2

LatencyeNodeB Buffers

27%MicroBursts

Network “Slicing”

33%PathDelay

Application-Layer Routing

97% More Network

REVEALING THE INVISIBLE2

0:1

0

20

:20

20

:30

20

:40

20

:50

21

:00

21

:10

21

:20

21

:30

21

:40

Metro-Wide VoLTE Call Drops

Every 14 Minutes

“Network Behaving Normally”

` REVEALING THE INVISIBLE

250k

3billion

<2seconds

WITHIN SPEC

VoLTE QoE

Packet Loss

Latency

WITHIN SPEC

VoLTE QoE

Router SWRing Switch

µs Spikes Micro-Loss

VoLTE QoE

ROOTCAUSE

( If you know the recipe )

MACHINE LEARNING IS SIMPLE

Successful, self-optimizing networks, in 100 easy steps:

000 Deploy a real-time data lake

001 Fill it with high accuracy/granularity, ubiquitous data

010 Learn with fast analytics

011 Optimize user experience in real-time

100 Goto 001

12 ©2016 ACCEDIAN NETWORKS Company Confidential

THANK YOU

See Jio’s network analytics platform

at the Accedian booth6D60 in Hall 6