NetOps Coding Workshop, Nov. 2015

1. Model
Driven
Automa1on
30
October
2015
Miya
Kohno
(mkohno@cisco.com)

2. 2© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
Programming
Style
@
Networking
• Not
Waterfall
but
Agile
-­‐-­‐-­‐-­‐
Feedback
Loop
and
Con1nuous
Improvement
• Not
Impera1ve
but
Declara+ve
-­‐-­‐-­‐-­‐
not
to
command
“How”
but
to
agree
on
“What”
• Not
Procedure
but
Model
driven
-­‐-­‐-­‐-­‐
“What
to
be”
is
shown
by
Model
Network
is
a
large-­‐scale
parallel
distributed
system
with
high
uncertainty
Wikipedia:
Barabasi-­‐Albert
Model

3. 3© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
Control
Infrastructure,
Devices
• Physical
• Virtual
virtual
physical
Service
Applica1on
Power
of
“Declara1veness”
and
“Model-­‐drivenness”
Workflow,
Script
–
to
describe
“How”
• Script
• Workflow
• CLI
• Openflow
protocol
Hard
to
-­‐
deal
with
change
Hard
to
-­‐
par1ally
update
-­‐
undo
ß
Procedure
ß
Command

4. 4© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
Control
Infrastructure,
Devices
• Physical
• Virtual
virtual
physical
Service
Applica1on
Model –
to
agree
on
“What”
• Service
Model
• Device
Models
Ability
to
par1ally
update,
undo,
with
consistency
Transac/on
Engine
Agile
feedback
loop
Power
of
“Declara1veness”
and
“Model-­‐drivenness”
• Fit
for
parallel
distributed
system
• Robustness
for
uncertain1es
• Reusability,
Maintainability,
Scalability
ß
Inten/on
ß
Promise

5. 5© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
But
modeling
is
hard
?!
(complains
voiced)
• It
takes
extra
1me
and
effort
to
model
• Need
to
do
the
done-­‐deals
over
again
-­‐
work
rou1ne
is
already
established
-­‐
and
there
are
exis1ng
workflows/scripts
for
it
• Not
human
friendly
-­‐
Human
think
sequen1ally
• Arbitrary
models
can
be
wide-­‐spread
• How
to
prove
the
model
is
adequate?

6. 6© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
True,
model
is
not
versa1le.
However
-­‐
• The
effort
for
modeling
itself
is
good
-­‐
Good
opportunity
to
dis1nguish
“Aim”
and
“Mean”
• It’s
good
to
detect
good
models
and
bad
models
-­‐
Consistency
speaks
for
itself
• Merits
are
not
just
to
work
-­‐
Model
as
a
common
language,
Re-­‐usability,
Maintainability
• Let’s
standardize
when
needed!
(Benoit
will
help
us
J)
-­‐
It’s
good
to
standardize
basic
parts
-­‐
Knowledge
will
be
aggregated
and
evolved
by
standardiza1on
and
open-­‐source