industrial transformation calling for next generation of cloud · 2018. 5. 17. · industrial...
TRANSCRIPT
Industrial Transformation calling for Next Generation of Cloud
Dr. Azimeh SefidconDirector Research Cloud Systems and Platforms
Ericsson AB
Ericsson Research 2018-05-15
Edge computing for industrial applications | 2018-03-14
Sara Mazur | © Ericsson AB 2018 | 2018-04-17
Transformed
IndustriesTraditional Industries
Devices Applications
Network
Digitize & Mobilize
Cloud
Transformation in progress…
Copyright | Ericsson AB 2018 | Azimeh Sefidcon I 2018-05-15
Edge computing for industrial applications | 2018-03-14
Copyright | Ericsson AB 2018 | Azimeh Sefidcon I 2018-05-15
Sara Mazur | © Ericsson AB 2018 | 2018-04-17
Cloud
IoT SecurityMachine Intelligence
5G Systems
Copyright | Ericsson AB 2018 | Azimeh Sefidcon I 2018-05-15
Sara Mazur | © Ericsson AB 2018 | 2018-04-17
Industrial Cloud Context
Central Cloud Infrastructure:
Central Cloud Infrastructure
On-site or Edge Cloud
Infrastructure:
“Fog”
Infrastructure:
Central Cloud Infrastructure
Private Cloud
Infrastructure
Copyright | Ericsson AB 2018 | Azimeh Sefidcon I 2018-05-15
Sara Mazur | © Ericsson AB 2018 | 2018-04-17
Industrial Cloud Specification
Copyright | Ericsson AB 2018 | Azimeh Sefidcon I 2018-05-15
DEVICE ON-PREM LOCAL/METRO
COUNTRY/REGONAL
GLOBAL/CENTRAL
Machine, car,train, …
Factory, office, power-station, micro datacenter
Central office, hub/antenna site, micro datacenter
Data Center Data Center
Resilience,
network
efficiency
Scale,
Cost,
Efficiency
Regulatory
compliance,
multi-cloud
Autonomy,
security,
low latency
Autonomy,
extreme
low latency
Cloud 2.0Cloud 1.0
Evolution of Cloud
Virtualization of
servers
Manual and custom
management
Centrally controlled
services
Complex management
stacks
Datacenter operator pain-points:
— Lack of insight from operation metrics
— Complex maintenance and upgrade
of DC management software
— Cost of low resource utilization
Cloud developer pain-points:
— Efforts spent on infrastructure programming
— Network management gets in the way
Copyright | Ericsson AB 2018 | Azimeh Sefidcon I 2018-05-15
Developer-friendly abstractions
capturing non-functional requirements
like latency.
Datacenter capacity organically adapts
and self-configures.
All cloud services are fully distributed.Datacenter is abstracted as
One Big Machine.
Cloud 3.0 design principles
Copyright | Ericsson AB 2018 | Azimeh Sefidcon I 2018-05-15
Ericsson Internal | 2018-03-06 | Page 10Copyright | Ericsson AB 2018 | Azimeh Sefidcon I 2018-05-15
Domain Specific Platforms
Application/Context Driven
Optimization
Future Infrastructure Platform
HW Driven Optimization
Management &
OrchestrationData
Core Cloud Platform
Operating System Driven
Optimization
Edge Integration
Service Delivery Platform
Service Driven Optimization
Automation NFV
5G IoT Intelligent services
Concerns
Solutions
Operational Efficiency
Industrial Cloud Reuirements
Ericsson Internal | 2018-02-21
Leveraging disruptive HW
An information model for Cloud Acceleration
Copyright | Ericsson AB 2018 | Azimeh Sefidcon I 2018-05-15
Edge computing for industrial applications | 2018-03-14
Distributed Operating System
Development environments for cloud native applications
Application runtime
Cloud 3.0 APIs
Messaging
Compute
Network Storage Accelerator
Linux Linux Linux Linux Linux
Te
na
nt
ma
na
ge
me
nt
DC
po
licy
an
d
ma
na
ge
me
nt
Inte
gra
ted
An
aly
tics
DC boot
0:18 0:23
Copyright | Ericsson AB 2018 | Azimeh Sefidcon I 2018-05-15
Edge computing for industrial applications | 2018-03-14
Service Composition
3.0
Copyright | Ericsson AB 2018 | Azimeh Sefidcon I 2018-05-15
Lower development
cost:
— Faster development
cycles by allowing focus
on computation and data
handling.
Moving the
cloud native definition back from
“born in the cloud” to
“gestated in the cloud”
Lower operational cost:
— High level of automation
by self-configuration and
self-healing.
— Higher utilization through
use of processes as unit
of execution.
Increased usability and
scalability:— Compute clusters of all
sizes, bringing the cloud
model from datacenters
towards the edge.
Benefits of Cloud 3.0
Copyright | Ericsson AB 2018 | Azimeh Sefidcon I 2018-05-15
Sara Mazur | © Ericsson AB 2018 | 2018-04-17
Cloud 3.0— Lower Operational Cost
— Lower Development Cost
— Increased Usability & Scalability
Including— HW driven optimization
— Operating system level optimization
— Application specific optimization
— Service driven optimization
Industrial Cloud
DEVICE ON-PREM LOCAL/METRO
COUNTRY/REGONAL
GLOBAL/CENTRAL
Machine, car,train, …
Factory, office, power-station, micro datacenter
Central office, hub/antenna site, micro datacenter
Data Center Data Center
Resilience,
network
efficiencyScale,
Cost,
Efficiency
Regulatory
compliance,
multi-cloud
Autonomy,
security,
low latency
Autonomy,
extreme
low latency
Copyright | Ericsson AB 2018 | Azimeh Sefidcon I 2018-05-15
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