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TRANSFORMING THE MOBILE CUSTOMER EXPERIENCE
Machine Learning from Real-Time Performance Visibility
MWC 2017Patrick Ostiguy President & CEO
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NETWORK PERFORMANCE VISIBILITY
Countries 81
Top 20 MNOs 80%
Founded 2004 Measurementsper Day
1.5B
Monitoring Sessions 2M
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CLOSING THE LOOP ON SELF-OPTIMIZATION
Nervous System
Real-Time Visibility
Responsive Control
SDN + NFV
Decision Making
Analytics & Machine Learning
SELF-OPTIMIZINGMOBILE NETWORK
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MACHINELEARNING
is
5Gto
ESSENTIAL
sense
“think”
do
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Fueled by
Data
Accelerated by:
MACHINE LEARNING NEEDS VISIBILITY
Learn Refine
The Invisible Becomes Visible
Not SufficientWithout
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MACHINE LEARNING NEEDS HIGH RESOLUTION
sec
Packet Loss
t = 15
sec
Packet Loss
t = 1
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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
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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
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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”
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` 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
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( 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
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12 ©2016 ACCEDIAN NETWORKS Company Confidential
THANK YOU
See Jio’s network analytics platform
at the Accedian booth6D60 in Hall 6