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Prof. Dr. Boris OttoFraunhofer IML/ISSTTU Dortmund UniversityBerlin · December 12th, 2016
THE INDUSTRIAL DATA SPACE: ARCHITECTURE BLUEPRINT FOR DIGITAL SOVEREIGNTY
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AGENDA
Use Cases and Digital Sovereignty
Architecture Overview
Industrial Data Space Association
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Supply chain transparency and new generation tracking solutions
Description Increase supply network transparency Sharing value-added supply chain event data
Lead partner Bosch, Audi
Ecosystem Automotive OEMs 1st tier suppliers
Smart Logistics
Image sources: Audi, Bosch (2016).
Delayed!
Transport shocks
Goods received
Deviated!
EarthquakeRisks of floods
IDS
IDSIDS
IDS
IDS
IDS
IDS
IDS
IDS
IDS
Collaborative Risk Management Supply Chain Event Management
Bankruptcy
Capacity shortage
Ecosystem (cont’d) 2nd and 3rd tier suppliers Logistics services providers
Data Supply relationships Condition data of transport items (temperature, location,
shocks etc.) Supply chain risk information.
Image sources: Audi, Bosch (2016). NB: Use-case under evaluation.
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Increasing efficiency, flexibility, and transparency in small series supply chains
Description
Smart factory approach along the value chain
Information transparency during planning and execution
Lead partner
Volkswagen, Audi
Ecosystem
OEMs
Suppliers
Logistics Service Providers
Data
Product data, release orders, order sequences, planning data
Supply chain events
Smart Automotive Production
Image sources: SmartFace Project Consortium (2016); Fraunhofer IML (2016).
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Optimizing material features along its entire lifecycle
Description
Availability of material/product information from the raw material to recycling
Optimization of product features in early lifecycle stages for later use
Lead partner
Salzgitter
Ecosystem
Mining companies
Steel producers
Manufacturing companies
Customers
Data
Product/material data
Use information (stress tests, material behavior etc.)
Smart Steel Lifecycle Management
Image source: Fraunhofer MATERIALS consortium (2016)..
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Optimization costs and use of energy in resource-intensive production environments
Description
Adapting energy consumption to flexible production intensity
Optimizing energy costs, energy supply risks, and ecological sustainability
Lead partner
thyssenkrupp
Ecosystem
Manufacturing companies
Utility companies/power plant operators
Network operators
Service providers
Data
Energy demand and supply
Production plans and resource availability
Context-information (e.g. weather)
Smart Production Energy Management
Image source: Wikipedia (2016); thyssenkrupp (2016)..
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Using real-life evidence for pharmaceutical product development
Description
Personalized medicine
Optimizing treatments and pharma product effectiveness
Lead partner
Boehringer Ingelheim
Ecosystem
Pharmaceutical companies
Research organizations
Patients
Healthcare providers
Data
Diagnostics data, anonymzed personal health data
Treatment information
Clinical trial data
Smart Healthcare
Image sources: ResearchGate (2016).
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In smart service ecosystems, data becomes an economic good
Digital Sovereignty
Interoperability
Data Exchange
»Sharing Economy«
Data-centric Services
Data Ownership
Data Privacy and Security
Data Value
Digital sovereignty is the capability of a natural person or corporate entity for exclusive self-determination with regard to its economic data goods
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AGENDA
Use Cases and Digital Sovereignty
Architecture Overview
Industrial Data Space Association
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Key requirements determine the Industrial Data Space
A Network of Trusted Data
Trust
CertifiedParticipants
Scalability
Network Effects
Openness
Neutrality andUser Community
Governance
Mutual Rules ofthe Game
Ecosystem
Platforms andServices
Security
On-Demand DataExchange
Sovereignty
Data Ownership
Decentral Control
FederatedArchitecture
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The component architecture follows decentralized design principles
The Industrial Data Space
Software components enable all stakeholders to participate in the Industrial Data Space
The entirety of all (external) connectors defines the Industrial Data Space
Internal connectors link to data sources within the company
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The Industrial Data Space builds an ecosystem for the data economy
Role Overview
Industrial Data Space
Data Providers
Data Users
AppStoreProvider
Broker
Certification Agency
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Industrial Data Space Connector Architecture
General Architecture Design
Application Container Management
Core OS
Core IDS Container
Injection of data apps, adapters, software packages etc.
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Industrial Data Space Connector Architecture
Data App Injection
Application Container Management
Core OS
Core IDS Container
IDS Data Core
Data App Data App
Data App Data App
Data App Data App
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Industrial Data Space Connector Architecture
The connector connectsdata sources and sinksin the Industrial Data Space
It contains several components:
Workflow Engine
Message Bus
Data Services
Data Processing
System Access
Overview
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Industrial Data Space Connector Architecture
First version of reference architecture was released end of June 2016
First prototype of connector implementation(i.e. the »Base Connector«) was released
First sprint of reference use case »Logistics« was released
First version of »Trusted Connector« planned for Q1/2017
Software is available for download
How-to-Guide attached
Base Connector Pilot Technologies
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The architecture combines existing semantic technologies with service-orientation
Industrial Data Space Connector
Transfer metadata and payload
Protocol header with metadata
ID Token
Format, creator etc.
Source and destination Endpoints (IDS)
Usage restrictions (access restrictions, time-to-live…)
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Information Security Approach
Multiple Security Profiles
Dimension Potential Instantiations
Trusted Platform Module (TPM) w/o TPM TPM 1.2 TPM 2.0
Authentication w/o certificateself-signedcertificate
CA-basedcertificate, internal
CA
CA-based certificate, external CA
(»cross-certified«)
CA-basedcertificate, based
on IDS-PKI
Container Management Layer (CML)
w/o Container Management Layer
Baseline CML (e.g. Docker) Hardened TrustX CML
Attestation w/o TPM, ohne AttestierungCML & Core Container
AttestationCML & Core Container &
Container Attestation
Isolation (multiple)
Software Assurance Level unknown SW stack IDS-certfified SW stack
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AGENDA
Use Cases and Digital Sovereignty
Architecture Overview
Industrial Data Space Association
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The initiative rests on solid and continuously growing industry commitment
Industrial Data Space Association
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Liaison with the »Plattform Industrie 4.0«
Collaboration Approach
Pharma 4.0
Bank 4.0Retail4.0
…Industrie 4.0
Focus on Manufacturing
IndustriesSmart services
Data Transmission,networks …
Real-time systems
Industrial Data SpaceFocus on Data
Data
…
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»Modus operandi«
Organizational Overview
Board
Member Companies
50 members
USE CASES Head Office
Membership services, internationalization, knowledge transfer, go-to-market etc.
Working Groups
Architecture / Use Cases & Requirements / Certification / Market Exploration
Work Packages
Architecture, software development, use cases, standardization, certification, digital business engineering, recommendations, institutionalization, project management
Steering Committee
Technical Advisory Board
Use Case Advisory Board
INDUSTRIAL DATA SPACE ASSOCIATION
Fraunhofer Research Project
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The Industrial Data Space provides a number of benefits to stakeholders
Digital sovereignty
Secure data supply chains
Multiple use and deployment scenarios
Trusted participants through certification
Collaborative governance and user driven rules of the game
Open participatory development process
Value Proposition
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Prof. Dr. Boris Otto
Fraunhofer IML & ISSTTU Dortmund University
https://de.linkedin.com/pub/boris-otto/1/1b5/570
https://twitter.com/drborisotto
https://www.xing.com/profile/Boris_Otto
http://www.researchgate.net/profile/Boris_Otto
http://de.slideshare.net/borisotto
Thank you very much for your attention!
Your Speaker
© Fraunhofer
The Industrial Data Space: Architecture Blueprint for Digital Sovereignty
Prof. Dr. Boris OttoFraunhofer IML/ISSTTU Dortmund UniversityBerlin · December 12th, 2016
