Cloud to the Edge In edge computing, content, compute and storage resources are placed at the edge of the network, closest to user concentrations. Enterprise architecture and technology innovation leaders should bring cloud and edge computing together to support distributed computing and enhanced user experiences. Moving processing and content collection/delivery closer to the sources and consumers of information offers significant benefits and creates new business models. As the Internet of Things (IoT) becomes mainstream, analytics will be needed at the edge of the network for real-time feedback and business process optimization. This will make the use of edge computing vital. The adoption of edge computing will be slowed by a lack of awareness of its benefits and a lack of skills in its use. Organizations that lag behind in addressing these issues will miss opportunities. Cloud computing and edge computing are complementary concepts, not competitive styles of computing. Organizations & Ecosystems that use them together will gain the benefits of both centralized and decentralized approaches.

1. Cloud to the Edge
—
Dr. Christian Eggenberger
Business Unit Technical Lead & Availability Consultant
Master Inventor & Member of the IBM Academy of Technology
October 03, 2018 / © 2018 IBM Corporation

2. Why do we need
Cloud to the Edge
Architectures?

3. Latency Issues
Data Protection
Regulation
Lack of
Bandwidth
Lack of DC
Floorspace
Energy & Cooling
Issues in DCs

4. How we define
Cloud to the Edge

5. IBM proposes an architectural Cloud to the Edge concept called
Compound Data Center, inspired by a molecular structure
Source: Academy of Technology Whitepaper;
Edge Data Center
• Data collection
• Noise Filtering
• Formatting
• Distillation / Reduction
• Aggregation
• Expansion
• Security
for IoT devices in DC proximity
Cloud Data Center
Event information will be
• Augmented
• Integrated
• Correlated
with systems of record information
Enterprise Data Center
• Enterprise business applications
• Orchestrates all resouces within the Compound DC
October 03, 2018 / © 2018 IBM Corporation 5

6. Cloud to the Edge
exemplified by
the fast changing
transport sector

7. Sensors of each modern car generates large amounts of data
Data Volume:
~ 12-15 TB
per hour
per car
Source: http://currencyobserver.com/2017/12/global-automotive-sensors-market-2017-2022/October 03, 2018 / © 2018 IBM Corporation 7

8. Proliferation of several generations of more or less intelligent
driving systems calls for integral Command & Control solutions
8October 03, 2018 / © 2018 IBM Corporation
Before 2000 2005 - 2010 2010 - 2015 2015 - 2020 2020 - 2025 After 2030
Source: https://iq.intel.com/autonomous-cars-road-ahead/
https://www.canalys.com/newsroom/15-new-cars-sold-worldwide-2025-will-be-autonomous-vehicles
2015: ~1 % L2 of 89m sold cars 2025: -30% L2 & ~15% L3/L4 of 103m sold cars
The
transition to
“No Driver”
vehicles will
last decades
Human Machine

9. Cloud to the Edge is a
key concept for an
integral prevention or
limitation of damage
system

10. Cloud to the Edge can be an enabler to fully capture the entire
process of a (potential) collision in real time
10
October 03, 2018 / © 2018 IBM Corporation Source: http://moralmachine.mit.edu/

11. An IBM disclosure* describes the relevance of Edge Computing
to minimize the overall damage in case of an unavoidable crash
11Zurich Insurance Global Architecture Forum / October 03, 2018 / © 2018 IBM Corporation Source: Pending Patent owned by IBM
1 2
3
“Integral Damage Control By Interaction Between A Collision Detection System And a Bumper System”
An object is on an unavoidable collision course
with vehicles that have different levels of
automation.
Edge computers recognize the situation and issue
appropriate commands to minimize the overall
damage.
For example, the bumpers of an intelligent shock
absorber system are used accordingly.
1
2
3

12. With IBM Solutions
and Services around
Cloud to Edge, we can
assist or collaborate
with YOU

13. Reliable speed for data-transfer within an Edge Computing environment
Overcome the limitations in classic TCP/IP transfer
by using Aspera patented FASP protocol.
High-Speed File Transfer with IBM Aspera

14. The Micro Data Center developed by IBM Research Zurich can
be the missing piece in an Edge to Cloud Architecture
+ 20x smaller than a current Data Center
+ 50% less power consumption
+ 10x less repair actions (reduced thermal
cycling due to hot-water cooling)
+ Up to 64 64-bit micro-servers in 2U unit
+ Incl. Storage, Networking, Power+Cooling
+ Standard components
+ Standard rack-unit form factor
+ Zero noise emission
+ No moving parts
+ No competitors (same density + efficiency)
+ Close to production ready
+ Several reputable awards
+ IBM owns the Intellectual Property (IP)
+ Attractive solution for DCs with limitations:
+ Floor space
+ Cooling
+ Future proof solution for Fog Computing
+ High Market potential
+ An Unmanned Aerial Vehicle (UAV) can deliver a whole DC at
once (new or as spare part)
•Developed by the IBM Research Lab Zurich
•Idea originator & main driver: R. Luijten
•Started in 2012 within the DOME project
A hot water-cooled micro-datacenter in 2U rack-unit
A micro-server board of 133 x 63 mm2