Business critical applications 35x number of devices per user Internet of Things Every week at least one in ten employees at a typical enterprise will get hit by downtime Source The Realities of WiFi Troubleshooting Survey by Zeus Research Oct 2016 ID: 919250
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Slide1
Cognitive Wi-Fi
Slide2All Wireless Office
Business critical applications
3-5x number of devices per user
Internet of Things
Slide3Every week at least
one in ten employees at a typical enterprise will get hit by downtime.
Source: The Realities of Wi-Fi Troubleshooting, Survey by Zeus Research, Oct 2016
Slide4Network admins spend 50% of working life troubleshooting user-reported
“Wi-Fi issues”.
Can take hours to
diagnose and to resolve.
Source: The Realities of Wi-Fi Troubleshooting, Survey by Zeus Research, Oct 2016
Slide5Wi-Fi almost always gets blamed!
But more often than not, it is not the direct cause of end-user issues.
Slide6Association
Authentication
Network
Application
- Association limit
- Capability mismatch
- Unauthorized client
- Incorrect PSK
- RADIUS auth failure
- RADIUS server not
responding
- EAPOL failure
- Fast roaming
failure
- DHCP failure
- DNS failure
- Portal failure
- Application failure
- WAN failure
Wi-Fi user experience depends on more than just Wi-Fi
Slide7AAA latency
DHCP latency
DNS latency
App / WAN latency
Association
Authentication
Network
Application
Wi-Fi user experience depends on more than just Wi-Fi
Slide8Wi-Fi troubleshooting often turns into a
wild goose chase!
With no better option, network
admins often
Manually correlate logs from multiple manually OR
R
ely
on packet captures as the first resort
.
Both of the above are inefficient!
Slide9Imagine
A new way
of Wi-Fi
that
…
Slide10Self Driving WiFi
Smart
Hands free
Reliable
Secure
Massively
scalable
Enormously cost effective
Slide11Cognitive
Wi-Fi (Mojo Aware)
Cognitive Computing
Client Emulation
Intelligent RF Optimizations
Client Journey
TM
Auto Packet Capture
Machine Learning
Slide121. Management Plane - Centralized
3.
Data Plane
- Flexible
2. Control Plane - Distributed
4. Cognition Plane - Intelligent
3b. Data tunnel
3a. Local data breakout
Virtual Tunnel Aggregator
Mojo Cloud Architecture
Slide13Mojo Cloud Architecture
Slide141. Management Plane - Centralized
3. Data lane - Flexible
2. Control Plane - Distributed
4. Cognition Plane - Intelligent
3b. Data tunnel
3a. Local data breakout
Virtual Tunnel Aggregator
Mojo Cloud Architecture
Slide15Cognitive
Wi-Fi
Cognitive Computing
Client Emulation
Intelligent RF Optimizations
Client Journey
TM
Auto Packet Capture
Machine Learning
Slide16Client Journey
TM
Slide17Machine Learning
Slide18In-built
intelligence to analyze Wi-Fi connections
in
real
time and automate root cause analysis
Cognitive Computing
Slide19Low Data Rate
“Slow Wi-Fi”?
Low RSSI
Sticky Clients
Poor Coverage
High Retry Rate
Low SNR
Client Capability
High Interference
Non Wi-Fi Reasons
High Contention
Cognitive Computing
Slide20Band steering
Smart steering
Auto channel selection
Auto transmit power control
Smart handling of broadcast and multicast traffic
Intelligent RF Optimizations
Slide21Auto Packet
Capture
Mojo Packets: Free Cloud Based
WiFi
Packet Analyzer
Slide22Client Emulation
Client connectivity test
Network profiling
Auto
-validation of client connectivity and
performance
Steering user devices for optimum experience
Slide23Cognitive
Wi-Fi (Mojo Aware)
Cognitive Computing
Client Emulation
Intelligent RF Optimizations
Client Journey
TM
Auto Packet Capture
Machine Learning