automotive transformation and infrastructure...
TRANSCRIPT
Automotive Transformation and Infrastructure Solutions for ADAS from Dell EMC
Victor NasrDell EMC, Unstructured Data Solutions CEE
2 Dell - Internal Use - Confidential
The 4th Industrial Revolution & The Digital World
4.0
Today
3.0
196918701784
2.01.0
Introduction of mechanical production facilities with the help of water and steam power
mass production through assembly lines and the use of electrical energy
use of electronics to begin to automate production, Fieldbus and Industrial Ethernet
Cyber-physical systems, IoT and cloud technology automate complex tasks and IT system integration
3
50% of Fortune 500 companies have disappeared since 2000
disrupted by digitally enabled competitors1
1 - Source: The Manufacturer
33% By 2018 of all industry leaders will be
Source: IDC
Competing in a Digital World
• https://www.theatlas.com/charts/SkYcLuk0Z
of 234
• https://www.theatlas.com/charts/SkYcLuk0Z• https://www.media.volvocars.com/global/en-gb/media/pressreleases/207309/volvo-cars-and-autoliv-autonomous-driving-joint-venture-zenuity-starts-operations• http://fortune.com/2017/08/16/fiat-chrysler-bmw-intel-mobileye-autonomous-car/• https://intelligentvehicle.com/dell-emc-joins-toyota-intel-and-ericsson-to-drive-connected-car-data-efficiency/• https://www.techknow.ie/single-post/2018/04/09/Autonomous-and-Advanced-Driver-Assist-firm-Zenuity-to-use-Dell-EMC-to-develop-high-performance-computing-
HPC-environment
Automotive Market & High Tech: Joint Ventures & Consortia
Automotive Edge Computing Consortium
IoT Future for Connected Cars / Toyota-led
Dell - Internal Use - Confidential5 of Y5 of 23
Levels of Automation Escalate Data StorageSAE level 0 1 2 3 4 5
Level of Automation None Function-
specificMulti-function automation
Limited Self-driving
High Automation Full Automation
Examples Lane-departure warning
Adaptive Cruise Control
Parking Assist, Platooning
Traffic JamChauffeur
Parking Garage Pilot Robot Taxi
Major AD Development Challenges IncludeEver-increasing regulations
Lack of regulations High number of vehicle variants
Complex technology & integration efforts
Perceived high risk of failure
High cost of failure
Complex technology & integration efforts Growing sensor requirements
Customer demand
Data Management
Dell - Internal Use - Confidential6 of Y6 of 23
Levels of Automation Escalate Data StorageSAE level 0 1 2 3 4 5
Level of Automation None Function-
specificMulti-function automation
Limited Self-driving
High Automation Full Automation
Examples Lane-departure warning
Adaptive Cruise Control
Parking Assist, Platooning
Traffic JamChauffeur
Parking Garage Pilot Robot Taxi
Dell - Confidential
2020+ 2030+
Real-world sensor data
required (Kilometers) ~1,000,000+ km
Data management requirementsfor ADAS / AD will only grow
Today
~200,000+ km
Available Today
4-10 PB 50-100 PBStorage Capacity Required (Typical) 2+ EB
~240M+ km
2-3 years
~20M+ km
Dell - Internal Use - Confidential7 of Y
Why So Many Km / Miles ?It’s all about safety• Weather Conditions• Accident avoidanceReality is impossible to predict• Other drivers• Unexpected obstaclesGoal: Capture real-world scenarios• Developer deploy 100’s of cars worldwide• Capture sensor data• Replay data to test ADAS subsystems
Sensor Data
Dell - Internal Use - Confidential8 of Y
It’s All About Extracting Value From The Data
D A T A C A P I T A L
Human Capital Intellectual Property
Operations Infrastructure
T R A D I T I O N A L A S S E T S
Data is rapidly becoming organizations’ most differentiating asset
Dell - Internal Use - Confidential9 of Y
Key Digital Transformation Initiatives
D I G I T A L E X P E R I E N C E S
I N T E R N E T O F T H I N G S M L / A IB I G
D A T A
D AT A P O W E R S T H E M AL L
CHALLENGE: Transforming Data Into Value
C R E AT I N G B U S I N E S S I M PA C T F R O M D ATA
K E E P I N G U P W I T H D ATA G R O W T H
U N L O C K I N G D ATA T R A P P E D I N S I L O S
N O W
U N S T R U C T U R E D
E X P O N E N T I A L G R O W T H
D I S T R I B U T E D
R E A L - T I M E
T R A D I T I O N A L
S T R U C T U R E D
L I N E A R G R O W T H
C O N TA I N E D
B AT C H
Evolving Data Landscape
Unstructured Data Vision
U N I F I E D D A T A L A K E
S I M P L I C I T Y A T S C A L E
E X T R A C T V A L U E F R O M D A T A
E C S
I S I L O NP R O J E C T “ N A U T I L U S ”
F I L ES T R E A M
O B J E C T
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Dell EMC Isilon
S i n g l e F i l e S y s t e m &O n e N a m e s p a c e
G l o b a l A v a i l a b i l i t y & P r o t e c t i o n
U n m a t c h e dS t o r a g e E f f i c i e n c y
S i m p l i c i t y &E a s e o f U s e
L i n e a rS c a l a b i l i t y
A u t o m a t e d P o l i c y B a s e d T i e r i n g
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U n l i m i t e d O b j e c t S t o r a g e
E n t e r p r i s e G r a d eS e c u r i t y a n d C o m p l i a n c e
4 8 % L o w e r T C O t h a n P u b l i c C l o u d
Dell EMC ECS
C o m p r e h e n s i v e A P I - b a s e d D a t a A c c e s s
N a t i v e M u l t i - t e n a n t A r c h i t e c t u r e
B u i l t - i n M e t a d a t a S e a r c h
ECS
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Project “Nautilus”
Project Nautilus
A u t o - S c a l i n g o f d a t a s t r e a m s
I m p r o v e d d a t a d u r a b i l i t y
T r a n s a c t i o n S u p p o r t
U n l i m i t e d R e t e n t i o n
H i g h t h r o u g h p u t W r i t e E f f i c i e n c y
E v e n t h a n d l i n gt o e l i m i n a t e e r r o r s