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From YouTube: Keynote: Break Through Gravity! Cloud Native Towards Space With KubeEdge - Qi Zhang, Huawei Cloud
Description
Don’t miss out! Join us at our next event: KubeCon + CloudNativeCon Europe 2022 in Valencia, Spain from May 17-20. Learn more at https://kubecon.io The conference features presentations from developers and end users of Kubernetes, Prometheus, Envoy, and all of the other CNCF-hosted projects.
突破地心引力！与KubeEdge一起迈向太空的云原生 | Break Through Gravity! Cloud Native Towards Space With KubeEdge - Qi Zhang, Chief Architect, Huawei Cloud & Shangguang Wang, Beijing University of Posts and Telecommunications
A
A
As
we
know,
satellites
are
becoming
increasingly
universal.
Intelligent
and
software
based
first
satellites
increasingly
tend
to
use
universal
technologies
and
components.
For
example,
some
industrial
grade
components
are
used
in
satellites,
especially
in
positioning
satellites.
Another
trend
is
intelligence,
gpu
and
npu.
Computing
is
now
supported
by
satellite
payloads.
In
addition,
satellites
become
increasingly
software
based
satellite
payloads,
including
systems
and
software
can
be
called
through
apis.
The
onboard
computer
enables
interconnection
between
software
using
network
ports.
Another
feature
of
satellites
is
that
networking
is
becoming
more
convenient,
diverse
and
converged.
A
However,
since
2000,
both
the
number
of
satellites
in
orbit
and
the
data
generated
have
skyrocketed,
the
amount
of
data
generated
by
satellites
has
actually
exceeded
that
transmitted
by
satellites.
Therefore,
real-time
in-orbit
processing
is
required
to
clear,
redundant
and
useless
data,
shorten
the
response
time
and
reduce
the
pressure
workload
of
network
link
transmission.
A
To
meet
these
requirements,
the
shenzhen
institute
of
bupt
established
the
interplanetary
network
and
intelligent
computing
lab
in
june
2020.
the
lab
conducts
satellite-related
research,
including
interplanetary
networks,
satellite
networks
and
distributed
ai
computing.
For
example,
in
march
2021,
we
completed
the
encapsulation
of
the
satellite
ground
collaboration
platform.
In
july
we
encapsulated
the
in-orbit
intelligent
computing
and
service
platform.
A
A
A
Currently
percent
of
the
land
and
ninety
percent
of
the
sea
on
the
earth
are
not
covered
by
network
signals.
For
example,
underdeveloped
areas
such
as
africa
cannot
benefit
from
ict
development.
We
hope
that
our
constellation
will
provide
a
platform
for
more
researchers
or
users
to
carry
out
open
source
experiments
benefiting
more
people.
A
A
The
third
one
is
to
develop
a
next
generation
satellite
os
for
interconnection
between
the
satellite
platform
and
the
payload
system.
We
also
want
to
carry
out
tests
on
certain
devices
and
effective
payloads
in
the
space.
In
addition,
we'll
conduct
experiments
to
verify
distributed
capabilities
such
as
machine
learning,
federated
learning
and
on-board
service
capability
openness.
A
A
satellite
carrying
our
computing
platform
was
successfully
launched
on
december
7th
2021
for
a
preliminary
verification
experiment
in
may
2022
we're
going
to
launch
the
first
satellite
of
the
sky
computing
constellation
program
bupt-1
by
2023.
All
satellites
of
the
program
will
have
been
launched
and
networked.
A
Now
let
me
take
over
the
presentation
to
introduce
how
cool
edge
works
in
this
program.
Cooperage
is
a
project
designed
for
edge
computing
and
edge
collaboration.
It
was
open
sourced
in
2018
from
2018
to
2019.
We
focused
on
developing
cuba
edge's
capabilities
in
2020.
The
focus
was
to
collaborate
with
peripheral
ecosystems
in
2021.
A
A
A
In
addition,
the
device
mapper
of
cuba
edge
is
used
to
model
and
manage
sensors
of
the
satellite
in
a
unified
manner
allowing
management
personnel
on
the
ground
to
obtain
the
working
status
of
on-board
devices
in
real
time.
All
of
these
communicate
with
each
other
through
a
highly
reliable
cloud
edge
channel
established
by
cuba
edge.
A
Next,
we
are
going
to
carry
out
experiments
on
satellites
with
two
plans.
The
first
plan
is
to
make
satellite
in-orbit
computing
more
intelligent
in
two
ways.
One
way
is
to
further
accelerate
the
inference
at
the
edge
by
optimizing,
the
inference
algorithms,
so
that
we
can
reduce
the
amount
of
data
transmitted
from
the
satellite
to
the
ground.
A
A
The
other
plan
is
to
build
a
cloud
native
aerospace
computing
platform.
We
will
define
the
roles
of
satellites
based
on
the
devices
and
locations.
For
example,
there
are
satellites
responsible
for
communication
with
the
ground
for
data
and
image
collection
or
for
intelligent
computing.
These
satellites
are
dynamically
networked
to
negotiate
and
collaborate
with
each
other.