Is Fog Computing just a buzz or a real business? The IoT is flooded with a variety of platforms and solutions. Fog Computing has been notably appearing as an evolving term in the context of IoT software. There is skepticism that Fog Computing is just another buzzword destined to disappear in the dust of time. Get insight from concrete business cases in a variety of IoT verticals – Agriculture, Industrial Manufacturing, Transportation, Smart & Connected Communities etc. and learn how Fog Computing can play a substantial role in each one of these verticals. Develop a judicious point of view with respect to the future of Fog Computing through market research, technology disruption vectors and ROI use cases presented in this session.

2. Fog
Compu)ng
Reality
Check:
Real
World
Applica)ons
and
Architectures
Biren
Gandhi
Principal
Strategist
Corporate
Strategic
Innova)on
Group,
Cisco
@birengandhi
/in/birengandhi

3. Abstract:
The
IoT
is
flooded
with
a
variety
of
plaIorms
and
solu)ons.
Fog
Compu)ng
has
been
notably
appearing
as
an
evolving
term
in
the
context
of
IoT
soLware.
There
is
skep)cism
that
Fog
Compu)ng
is
just
another
buzzword
des)ned
to
disappear
in
the
dust
of
)me.
Get
insight
from
concrete
business
cases
in
a
variety
of
IoT
ver)cals
–
Agriculture,
Industrial
Manufacturing,
Transporta)on,
Smart
&
Connected
Communi)es
etc.
and
learn
how
Fog
Compu)ng
can
play
a
substan)al
role
in
each
one
of
these
ver)cals.
Develop
a
judicious
point
of
view
with
respect
to
the
future
of
Fog
Compu)ng
through
market
research,
technology
disrup)on
vectors
and
ROI
use
cases
presented
in
this
session.
Simplified
Abstract:
Is
Fog
Compu)ng
just
another
buzz-­‐word
or
a
real
business?

4. IoT
(and
IoE)
Delivering
the
Right
Informa)on
to
the
Right
Person
(or
Machine)
at
the
Right
Time
Process
Physical
Devices
and
Objects
Connected
to
the
Internet
and
Each
Other
for
Intelligent
Decision
Making
Things
Connec)ng
People
in
More
Relevant,
Valuable
Ways
People
Leveraging
Data
into
More
Useful
Informa)on
for
Decision
Making
Data
IoE
Networked
Connec)on
of
People,
Process,
Data,
Things

5. IoT
is
Here
–
Now
and
Growing
TIMELINE
2010
2015
2020
BILLIONS
OF
DEVICES
0
10
20
30
50
Adop?on
rate
of
digital
infrastructure:
5X
faster
than
electricity
and
telephony
25
12.5
7.2
6.8
7.6
World
Popula?on
50
Billion
Smart
Objects
Inflec?on
point

6. Key
IoT
Challenges
Data
Geo-­‐distribu)on
M2M
Chaher
Bandwidth
Cost
(aggrega)on)
Balance
of
Real-­‐)me
&
Non-­‐real-­‐)me
Reliability
Unlike
Data
Center
environment,
failures
are
“normal”
IT+OT
Determinis)c
Control
Loops
Cyber/Physical
Security
System
View
Macro
Picture
(e.g.
City)
Cohesive
Opera)ons
Distributed
Policy
Management
Legacy
Deployments
Complex
mix
of
GF/BF
equipment
Cloud
Interplay
Silo’ed
PlaIorms
Eco-­‐system
of
tools,
APIs
etc.

7. Meet
“Fog
Compu)ng”
“A
distributed
compu)ng
paradigm
that
extends
cloud
compu.ng
closer
to
the
edge
of
the
network
to
enable
new
wave
of
applica.ons
and
services
in
IoT
land”

8. What
Exactly
is
Fog?
INTERNET
OF
THINGS
APPLICATIONS
Cloud
Fog
Cloud
capabili)es
extended
closer
to
the
edge
Consumer
domain’s
app-­‐
centric
model
of
device-­‐to-­‐
cloud
may
not
be
enough

9. Hierarchical
Fog
Architecture
Cloud
Device/Smart
Object
East/West
Flows
Fog
Fog Nodes can be multi-tenant
Shared, public or private (like cloud)
Highly virtualized environment
Secured & isolated tenants, QoS, workload distribution
Service Mobility
Ability to migrate a running instance from cloud to edge
North/South
Flows
Mixed ownership & operation
Single entity, federation of agencies

10. Data
is
the
new
$$$
1.1 Billion
Data points generated by sensors daily
500 Gigabytes
Data generated by an offshore oil rig weekly
1000 Gigabytes
Data generated by an oil refinery daily
10,000 Gigabytes
Data generated by a jet engine every 30 minutes
2.5 Billion Gigabytes
Data generated worldwide daily
90% of the world’s data has been created in the last 2 years!
IoT
Brings
New
Data
Dimensions

11. Data
Interplay
between
Fog
&
Cloud
FogSensors Cloud
Storage
Realtime Data
Control/Actuation
Transient
milliSec/Seconds
Visualisation
_-­‐-­‐_-­‐
Analytics
Seconds/Minutes
Semi-Permanent Months/Years
Minutes/Days/Weeks
Filter to process data locally
Remaining pass to cloud
Response
_-­‐-­‐_-­‐
Business Intelligence
Dashboards
KPIs
_-­‐-­‐_-­‐
_-­‐-­‐_-­‐
Control
Loop
In
)me
and
in
space
Localization Globalization

12. Data
Processing
at
the
Edge
• Need
of
immediate
response
)me
– Can't
afford
latency
of
sending
up
and
back
the
chain
• Closed-­‐loop
control
– In
controlling
physical
systems
–
cannot
depend
on
speed
and
availability
of
resources
back
at
the
data
center
–
e.g.
smart
traffic
light
system
• Privacy,
Security
&
Data-­‐ownership
considera)ons
– Regulatory
and
business
concerns
may
not
allow
moving
the
data
• Improved
scale
and
aggregate
throughput
via
parallelism
– Data
sources
oLen
naturally
distributed
• Not
all
Bytes
are
born
equal
– Offload
centralized
resources
that
would
otherwise
have
to
filter
through
volumes
of
uninteres)ng/useless
data.

13. Fog
Compu)ng
–
Buzz
or
Business?
Let’s
check
out
some
use
cases

14. From
The
Source
Healthcare,
Manufacturing,
Gaming
Low/Predictable
Latency
Pipeline
Monitoring,
Environmental
Sensors
Geo-­‐distributed
Apps
Connected
Vehicles,
Connected
Trains,
Drones
Fast
Mobile
Ver)cals
Smart
Grid,
City
Infrastructure
Management
Large-­‐Scale
Control
Systems
Source:
Fog
Compu)ng
and
its
role
in
the
internet
of
things
SIGCOMM
2012
Paper
by
F.
Bonomi
et.
al.

15. Railway
Systems
Immediate
Response
to
Equipment
Failure
Real-­‐)me
Health
Status
of
Trains
&
Tracks
New
Passenger
Ameni)es
and
Services
REPLACE
BEARINGS
CAR
07

16. Oil
Pipelines
Proac)ve
Leak
Detec)on
Predic)ve
Management
Broadband
Connec)on
for
Community
S6 | C026 Pressure
Drop
kPa
ACTION
REQUIRED

17. U)lity
Substa)on
Local
Load
Balancing
Opera)onal
Efficiencies
New
Business
Models
01 02 03 04 05 06 07 08 09 10
Maintenance
Needed
on
Transformer
7

18. Manufacturing
Predic)ve
Maintenance
Op)mize
Energy
Usage
Security
Before,
During,
and
ALer
Ahack
QUALITY
POWER
STAMPS
35%
85%
592547/
1000000

19. City
Infrastructure
Synchronize
Signals
for
Emergency
Vehicles
Improve
Conges)on
Management
Beher
Profitability

20. Barcelona
Fog
PoC
• Real-­‐life
Implementa)on
of
Fog
at
Scale
• Deployment
of
3300+
outdoor
cabinets
• Consolida)on
of
various
services
in
a
single
node
• Mul)ple
tenants/
en))es
supported
Institut Municipal d’Informàtica - Hàbitat Urbàp
Ajuntament de Barcelona
MI
ATS
ul IM
FICA
mòdu
UNIF
b m
ES U
am
ADRE
lles
QUA
Cruïl
Q
C 1818
=
cabinet
deployment

21. Barcelona
Fog
Node
Apps
1. Event-­‐based
Video
Ø Sending
video
records,
if
and
only
if,
certain
events
occur
–
e.g.
collision,
alarm,
broken
glass
2. Ad-­‐hoc
on-­‐demand
connec)vity
Ø Connect
certain
tenants
in
less
than
30
sec
3. Distribu)on
Board
Control
Ø Sense/Actuate
Tenant
App
for
Schneider
4. Vehicular
Traffic
Management
Ø Sensefields
Tenant
App
with
Fog+Cloud
components
5. Cisco
Wi-­‐Fi
Analy)cs
Ø Unified
visibility
into
distributed
install
base
of
WiFi
AP
6. Cabinet
Sensors
Ø PLAT.ONE
Tenant
App
to
detect
cabinet
ac)vity

22. And of course, how can we forget our
newest challenge … and opportunity

23. Cisco
IoT
System
INTERNET
OF
THINGS
APPLICATIONS
Fog
Compu?ng
Management
and
Automa?on
Network
Connec?vity
Security
Cyber
and
Physical
Data
Analy?cs
Applica?on
Enablement
PlaVorm
Cloud
Fog

24. Ques)ons?
Fog

25. Thanks
Learn
more
about
Cisco
IoT
System:
hhp://bit.ly/IoTSystem
@birengandhi
/in/birengandhi