Enterprise Architecture Management & Cloud Computing

Transcription

1 ZEIT PROGRAMM REFERENTEN 10:00 10:15 Begrüßung Dr. Andreas Goerdeler, Bundesministerium für Wirtschaft und Technologie, BMWi 10:15 10:30 Cloud Computing und der Weg in die digitale Gesellschaft Prof. Dr. Henning Kagermann, acatech Deutsche Akademie der Technikwissenschaften 10:30 11:00 Geschäftsmodelle aus den Wolken Cloud-basierte Geschäftsmodelle für Nutzer und Anbieter Enterprise Management & Cloud Computing Fachtagung FUTURE BUSINESS CLOUDS beim BMWi, Berlin, 6. Juni 2013 Prof. Dr. ARL Reference Lab & Research Group Prof. Dr. Helmut Krcmar, TU München 11:00 11:30 Logistik auf dem Weg zur hybriden Dienstleistung aus der Cloud Prof. Dr. Michael ten Hompel, Fraunhofer-Institut für Materialfluss und Logistik 11:30 11:50 Kaffeepause 11:50 12:20 The European Cloud Partnership: Demand and Supply Dirk van Rooy, European Commission, Software & s, Cloud, DG Connect E2 12:20 12:50 Computing in the Cloud Activities at EIT ICT Labs Prof. Seif Haridi, EIT ICT Labs 12:50 13:50 Lunch 13:50 14:05 Future Clouds Wo steht Deutschland im internationalen Vergleich Prof. Dr. Ulrike Steffens, OFFIS e.v. 14:05 14:35 Cloud-s für den Mittelstand, ein strategisches Wachstumsfeld Dirk Backofen, Telekom Deutschland GmbH 14:35 15:05 Work the way you live Michal Korbacher, Google Germany GmbH 15:05 15:35 Cloud Reizwort oder Nutzen? Digitale Unternehmen, veränderte Märkte, grenzenlose Potenziale 15:35 15:55 Kaffeepause Karin Sondermann, DriveChange! 15:55 16:25 Enterprise Management und Cloud Prof. Dr., Universität Reutlingen 16:25 16:55 Using Enterprise to plan your move to the Cloud Fabio Castiglioni, IBM Italien 16:55 17:25 Beyond the Clouds: Trends in Cloud Computing for Science Dr. Kate Keahey, University of Chicago ab 17:25 Get together Prof. Dr. & SOA Innovation Lab

2 2 Prof. Dr. Enterprise Management & Cloud Computing Agenda 1. EAM for s & Cloud Computing 2. ESAMI Enterprise s Metamodel Integration 3. ESARC Enterprise s Reference Cube 4. Conclusion & Future Work

3 Enterprise Management & Cloud Computing EAM-SOA Innovation Lab in Germany and Switzerland Scientific and Industrial Network of ARL Reference Lab 3 Prof. Dr.

4 4 Prof. Dr. Enterprise Management & Cloud Computing EAM - Enterprise & Management Align and IT through Integral Architectural s Enterprise Enterprise Level Strategy & Information Process Level Implementation Level People Processes Information Systems Information Technology Information Systems Technology & Operation

5 5 Prof. Dr. Enterprise Management & Cloud Computing The Open Group Framework (TOGAF 9.1) Metamodel

6 Enterprise Management & Cloud Computing Mapping TOGAF ArchiMate 2.0 Preliminary Phase H: Change Management Phase A: Vision Phase B: Information Behavior Structure Motivation layer Phase G: Implementation Governance Requirements Management Phase C: Information Systems s Application layer Phase F: Migration Planning Phase E: Opportunities & Solutions Phase D: Technology Technology layer Implementation & Migration Figure 8: Correspondence between ArchiMate (including extensions) and TOGAF 6 ArchiMate 2.0 Standard. The Open Group 2012 Prof. Dr.

7 Enterprise Management & Cloud Computing Integration Scenario of s from ArchiMate 2.0 and TOGAF 9.1 Open Group Standard ArchiMate 2.0 Specification. The Open Group , ISBN Open Group Standard TOGAF 9.1. The Open Group 2011, ISBN Capability Model Element Example Capability Model Element Example Activator (Viewpoint) Actor Role Collaboration Interface Location Actor Role Process Actor = Language Insurance Department Role = Travel Insurance Seller Process = tale out travel insurance = Offering travel insurance Organization (Viewpoint) Actor Role Location Actor Role OrganizationUnit Function Process Event Location 7 SERVICE COMPUTATION 2013 Valencia, Informatik 2013 Koblenz Prof. Dr.

8 Enterprise Management & Cloud Computing ESAMI Enterprise s Metamodel Integration Consolidated EAM Reference : Analysis and Integration Reference EAM Reference Correlation Index Integration Options Documents Origin Capability Model Element ArchiMate TOGAF ArchiMate TOGAF File Pages Authors Actor 2 2 p m Role 3 2 m m ArchiMate Specific. and TOGAF Standard Activator Organization ActorRole Organization Location Collaboration Organiz. Unit Function Event Collaboration Organiz. Unit Driver Goal Objective 3 0 m 1 3 p 3 3 p 3 3 m 3 0 m 0 no 1 correlation 3 p 1 3 low correlation 3 m 2 medium correlation 3 3 m 3 strong correlation 3 3 m r m p m r r m p m m m ESAMI reject partially mandatory (leading model) Location 3 3 m m 8 SERVICE COMPUTATION 2013 Valencia, Informatik 2013 Koblenz Prof. Dr.

9 Enterprise Management & Cloud Computing ESAMI Enterprise s Metamodel Integration SOA Ontology Typed Metamodel of Reference Role (HumanActor) Function Product Collaboration (HumanActor) Actor (HumanActor) Event Process (Process) Composite (Composition) Element Organization Unit Driver () Information (Information Type) Meaning Location Goal Quality (Thing) Representation Value Knowledge Skills Objective Contract (Contract) Rule 9 SERVICE COMPUTATION 2013 Valencia, Informatik 2013 Koblenz Prof. Dr.

10 Enterprise Management & Cloud Computing Integrating Cloud Computing Reference 19 s with The NIST Cloud Computing -Oriented Cloud Computing Infrastructure (SOCCI) Reference The Cloud Computing Reference Cloud Consumer Cloud Auditor Security Audit Privacy Impact Audit Performance Audit Layer IaaS PaaS SaaS Resource Abstraction and Control Layer Physical Resource Layer Hardware Facility Cloud Provider Cloud Management Support Provisioning/ Configuration Portability/ Interoperability Security Privacy Cloud Broker Intermediation Aggregation Arbitrage Cloud Consumer Cloud Integration Tools Consumer In-house IT Cloud Provider Cloud s Common Cloud Management Platform (CCMP) Existing & 3 rd party -Processas-a- services, Partner Ecosystems Software-as-a- Operational Support Support s s (OSS) (BSS) Platform-as-a- Inf rastructure-as-a- Inf rastructure Cloud Creator Creation Tools Cloud Carrier Information Technology Laboratory Cloud Computing Program Security, Resiliency, Performance & Consumability 6 Enabling Applicable Architectural Governance Layers 2011 IBM Corporation Figure 3: SOCCI High-Level View 10 NIST CC-RA, IBM CC-RA, CSA CC-RA, Open Group SOCCI Framework Prof. Dr. SOCCI Building Blocks (ABBs) consist of the SOCCI elements and SOCCI

11 Enterprise Management & Cloud Computing Body of Knowledge Areas of s Computing (SC-BKA of IEEE) Body of Knowledge Areas of s Computing of IEEE s and s System s Technologies s Consulting and Delivery s Solutioning and Management 1: Principle of s 2: s Lifecycle 3: Web s 4: -Orient. 5: s Relationships 6: s Composition 7: Process Management and Integration 8: Grid and Cloud Computing 9: Enterprise Modeling and Management 10: -Oriented Consulting Methodology 11: Delivery Platform and Methodology 12: Application s and Standards 13: Security, Privacy, and Trust in s 14: IT-s Management 11 [Liang-Jie 2008] Prof. Dr.

12 12 Prof. Dr. Enterprise Management & Cloud Computing ARL Research Programs EAM Reference 2. EAM COLUMBUS Reference Environment 3. SCC Reference 4. SCC COLUMBUS Reference Environment s Computing Semantic-based Repositories Domain Engineering and Arch. Engineering and BPM for SaaS Serv. Comp. Metamodel f. Cloud Comp. Enterprise Management EsaMetamodel EsaOntology EsaInference EsaDiagnostics EsaMaturity EsaPatterns EsaKnowledge EsaRef Cloud Resources Management Evaluation of s on Cloud Platforms Security for Cloud Platforms Evaluation of Cloud IaaS, PaaS Cloud Computing 5. Scientific s: ARL Platform, Pattern Repository, Situation Room, Conferences, Research Schools, Publications

13 Enterprise Management & Cloud Computing Reference Basic Mappings n n n Reference Models: conceptual models of a functional decomposition together with the data flows between elements Patterns: show known architecture quality attributes, and represent recurring solutions, within architectural constraints for given problems and solutions Reference : model of related software elements and typed building blocks as a result of a pattern-based mapping of reference models to software elements Reference Models Reference Software Patterns 13 L. Bass, P. Clements, and R. Kazman: Software in Practice, Addison Wesley 2011 Prof. Dr.

14 Enterprise Management & Cloud Computing ESA Framework: ESARC Reference Metamodel, Ontology, Maturity Model, Pattern Language for EAM ESARC - Enterprise s Reference Cube ESARC - Enterprise s Reference Cube Maturity Level 5: Optimizing Provide business value thru innovation and information technology Align and improve both: business and information technology Extend software methods towards business process management Integrate software engineering, service management, systems and operations Manage information technology like a business 34 Metamodel Reference Actors, Roles, Knowledge, Skills Domains and Capabilities Processes, Workflows, Policies, Procedures Rules for Products, s, Processes Information for Products, Processes, Controls Products and s 39 S. Bourscheidt, T. Breuer, T. Brunner, B. Fetler, G. Fogel: ESARC-Ontology MSc. Project, The specialized concepts of the & Information Reference are represented with associations of a class model These specialized concepts are integrated with the generic concepts "Element" and "Composition" of the generic SOA Ontology from the Open Group Oriented & & Information and Reutlingen Hochschule Management University Reutlingen Software Patterns Basic Concepts Pattern the core of a solution for a recurring problem that occur in a specific context based on verified design and practical experience articulates a common vocabulary of concepts and knowledge essential elements: extending the causal problem solution pair Subscriber1 Pattern Name update Problem Solution Consequences as results and trade-offs Pattern Catalog: a collection of self-contained patterns indexed by categories Pattern Encyclopedia: an index of patterns Pattern System: a collection of patterns with references between related patterns Pattern Language: a network (graph) of tightly connected patterns giving solution chains for specific problems Qrtl. 2. Qrtl. 3. Qrtl. 4. Qrtl. 26 Policies for Governance and Decision Definition Empowerment, Governance Board, Collab. & Communic. Strategy & Life Cycle Management Planned, Development, Test, Active, Deprecated, Sunsetted Security, Quality, Testing, Monitoring, Analytics Contracts, Registries, Reuse ESARC - Enterprise s Reference Cube Ownership, Versioning SOAMMIDefinition, Diagnostics and Improvement Views and SOA Innovation Lab 2011 Model 29 ESARC - Enterprise s Reference Cube Improvement update identify suitable solution elements for a given problem Subscriber1 Subscriber2 Public Cloud Hybrid Cloud Choreography Framework Portal & Workflow Server Desktop, Web, Mobile GG2 Maturity Level 2: Managed GG2 1 0 Maturity Level 1: Initial GG1 Process Orchestration Server Rule Server Product Configuration, Process Rules, Policies Enterprise Bus ESARC - Enterprise s Reference Cube SOAMMI (SOA Maturity Model Integration) Metamodel (adapted from TOGAF, CMMI, a.o.) Interaction Framework Application Server We have identified and distinguish a set of 43 patterns as parts of a new researched and s Reference Cube MQ System Monitor System introduced pattern language in the context of 7 Domains and 22 AreasESARC - EnterpriseTP Our architecture quality patterns accord to the Specific Goals, the Specific Practices and the SOAMMI (SOA Maturity Model Integration) Database System Generic Goals from the SOAMMI framework Areas and Maturity Levels Hypothesis of our research CMMI (Capability Maturity Model Integration) is well known as suitable framework to assess software processes, but not software architectures, nevertheless the meta model of CMMI can be extended to evaluate architecture capabilities of service-oriented systems The idea of a pattern language can be applied consistently for both architecture assessments and optimization, setting a base for effective cyclic evaluations of service-oriented systems Maturity Level Area Domain Capability Level Pattern 1..* Generic Goal * Specific Goal 1..* Specific Vendor Practice Workshop 1..* Value Chain Maturity Level 30 and SOA Innovation Lab 2011 Strategy & Management 5: Optimizing Strategy & Management Diagnostics verify solution states and determine the problem 3: Defined Product Process 2: Managed Solution What are solution elements suitable to solve the problem? Domain Control Information Strategy & Management Strategy & Management Area Innovation and Development Causal Analysis and Resolution Organizational Performance Monitoring Quantitative Management Typical vendor workshop 41 Overview and SOA Innovation Lab 2011 ID / AID CAR principles, vision, requirements OPM QAM Strategy & Management Strategy & Management Strategy & Management Information & Operation Realization Enterprise Management Requirements Development Governance Capabilities & s Products & s Information Alignment Design & Transition Contracts EAM ARD GOV BCS BPS BIA SDT ACO Strategy & Management Information Information Application Application Technology Technology Realization Requirements Management Domains & Capabilities Processes & Rules Data Entities & Components Objects System s & Capabilities System Domains Platform s Technology s & Capabilities Standards & Compliance ARM BDC BPR DEC BOB SSC SDO PFS TSC ASC architecture 1. SOA experiences 5. domains and capabilities 2. strategy management 6. services 3. requirements management 7. products dependency 4. requirements development 8. processes 1..* Generic Practice 1..* ESARC - Enterprise s Reference Cube register unregister changed setdata getdata Operational Systems Collaboration Framework and SOA Innovation Lab oriented Capability Patterns Assessment Pattern Language Scenario Problem What is the problem to be solved using the pattern? Dependents Publisher Application/ Information architecture 9. SOA deployment units 19. compositioning/ provisioning 23. Reuse of services Technology architecture Fulfillment degree and operation architecture / Key message realization 12. Integration capabilities 10. SAP service lines 11. SOA methods 13. Security 17. Level Agreements 15. SOA Tools 14. Leading technology 18. SOA best practices 16. governance 20. Interface technology 21/22. Integration tools/ method 01. No big implementation, many PoCs (> 100) with midrange companies 02. SOA as important part of overall strategy (no alternative); strategy change: wrapping of existing systems; new functionality are based on service orientation 06. Solution map available, method for identification of business services 07. Wrapper for monolithic functionality; business services are tightly coupled 09. Monolith not broken, no service oriented license model 11. Method for governance, guidelines, etc. for SOA available; candidate for SOA enablement: for processes which are not commodity (SCM, SRM, CRM); most use cases are GUI related 13. Standards e.g. SAML,... can be interpreted in different ways 15. Tools available, roundtrip, end to end engineering process not supported 1: Initial 53 Alfred Zimmermann and SOA Innovation Lab : Quantitatively Managed Subscriber2 Objects and 2 44 and SOA Innovation Lab 2011 Rule s ESARC - Enterprise s Reference Cube Event Handling s Components -oriented EAM-Patterns in Reduced Canonical Form Process s Task s Maturity Level 3: Defined GG3 Batch s Access s Utility s GG3 Governance Cycle Compliance with internal and external Standards Analytics s Maturity Level 5: Optimizing Maturity Level 4: Quantitatively Managed AA1 AA2 AA3 AA4 AA5 Channel Consumer and Integration s s Interaction s Staged Representation 3 ESARC - Enterprise s Reference Cube Information s for Enterprise Data Technology Reference 5 and SOA Innovation Lab 2011 Plan, Define, Enable, Measure and Control Governance and Management Practices Management Measures and Controls ESARC - Enterprise s Reference Cube ESARC - Enterprise s Reference Cube InformationSource: Systems Reference Continuous Representation 42 and SOA Innovation Lab 2011 ESARC - Enterprise s Reference Cube 31 and SOA Innovation Lab 2011 Collaboration and SOA Innovation Lab 2011 ESARC - Enterprise s Reference Cube Governance and Management 36 S. Bourscheidt, T. Breuer, T. Brunner, B. Fetler, G. Fogel: ESARC-Ontology MSc. Project, 2012 and SOA Innovation Lab 2011 Processes & Systems Operations and Cloud s ESARC - Enterprise s Reference EngineeringCube service architecture is managed, having medium completeness and coverage Configuration of Infrastructure Products - & Information ESARC -Oriented Ontology, The Open Group, 2010 Location and Organization & Systems Monitoring s ESARC - Enterprise s Reference Cube Maturity Level 2: Managed vendor supports learning and corrective actions are taken when necessary The assessment of capability levels couldabout be architectures applied to iterate specific architecture areas or to assess vendor service architecture is institutionalized within own products or improve a focused innovation aspect of some architecture areas To verify and support persistent institutionalization of architecture areas we have introduced in the Maturity Level 1:the Initial service architecture not performed or is incomplete or with no or initial coverage SOAMMI framework genericis goals and practices architecture is unpredictable and poorly controlled initial service architecture methods and knowledge transfer about services and architectures All architecture areas are affected by the same generic goals and generic practices Capability Levels 32 Configuration of & Information Demands Measures and Controls Enterprise Methodology Information Innovation Cycle Maturity Level 3: Defined service architecture is defined, having large, increasing completeness and coverage customer service architecture is agile tailored from standard vendor architecture SOAMMI (SOA Maturity Model Integration) vendor supports service strategy, architecture governance, methods and tools Capability and Maturity Levels (adapted CMMI) Vision, Drivers, Goals, Objectives ESARC - Enterprise s Reference Cube ESARC - Enterprise s Reference Cube Configuration of Application Systems 38 S. Bourscheidt, T. Breuer, T. Brunner, B. Fetler, G. Fogel: ESARC-Ontology MSc. Project, 2012 PaaS (Platform as a ) Maturity Level 4: Quantitatively Managed architecture artifacts and benefits are measured at vendor and customer side architecture is based on measured parameters an monitored business services causes of special variations are addressed ESARC - Enterprise s Reference Cube Source: Adaptation of NIST Cloud Computing Synopsis and Recommendations Operation Reference ESARC - Enterprise s Reference Cube View from Protégé showing the structure elements of the Ontology (left side) and corresponding & Information Reference Properties (right side) as a base for Navigation/Interaction and Knowledge Inference SaaS (Software as a ) ESARC - Enterprise s Reference Cube IaaS (Infrastructure as a ) ESARC - Enterprise s Reference Cube Configuration of Operation-supported People and Systems 33 -Oriented Ontology, The Open Group, 2010 Broadband Network Access On-Demand Self PRaaS ( Process as a ) Configuration of s and Procedures ESARC - Enterprise s Reference Cube ESARC - & Information Ontology with Properties in Protégé Element is the central generic service concept on which the specialized model elements of ESARC - Enterprise s Reference Cube are constructed Resource Pooling Security System -Oriented Ontology Detail Generic Model Rapid Elasticity Community Cloud ESARC - Enterprise s Reference Cube defects are prevented at customer and vendor side innovations are added based on a vendor / client mutual roadmap change is expected, not feared and improvements are proactive Measured Management Platform Asserted View from Protégé showing the is a -relationship between specific concepts of the & Information Reference and the generic SOA-Ontology Reference Private Cloud Meta-Modell for -oriented Ontology in OWL for -oriented & Systems Operation and Monitoring ESARC - & Information Reference Ontology wit Asserted View in Protégé Systems Management Platform ESARC - Enterprise Software Reference Cube Cloud s Reference ESARC - Enterprise s Reference Cube -Oriented Ontology Technical Standard SOAMMI (SOA Maturity Model Integration) Maturity Levels (adapted CMMI, Togaf 9/ACMM) ESARC - Enterprise s Reference Cube 43 and SOA Innovation Lab 2011 Alfred Zimmermann and SOA Innovation Lab 2011 SOA Innovation Lab Prof. Dr.

15 Enterprise Management & Cloud Computing ESARC - Enterprise s Reference Cube Capability Diagnostics, Monitoring, and Optimization n n ESARC defines our original integral classification framework for cyclic evaluations of eight types (views) of service-oriented enterprise software architectures ESARC substantiates the TOGAF standard with other standards and own models to provide a mapping foundation of a reference architecture with interrelated architecture viewpoints 15 SCC 2010 Washington DC, SERVICE COMPUTATION Lisbon, Rome, Nice, Valencia

16 Enterprise Management & Cloud Computing ESARC - Enterprise s Reference Cube Governance and Management Management Measures and Controls Governance Cycle Plan, Define, Enable, Measure and Control Compliance with internal and external Standards Policies for Governance and Decision Definition Empowerment, Governance Board, Collab. & Communic. Strategy & Life Cycle Management Planned, Development, Test, Active, Deprecated, Sunsetted Security, Quality, Testing, Monitoring, Analytics Contracts, Registries, Reuse Ownership, Definition, Versioning Governance and Management Practices 16 SCC 2010 Washington DC, SERVICE COMPUTATION Lisbon, Rome, Nice, Valencia Prof. Dr.

17 Enterprise Management & Cloud Computing ESARC - Enterprise s Reference Cube & Information Reference Measures and Controls Vision, Drivers, Goals, Objectives Location and Organization Actors, Roles, Knowledge, Skills Domains and Capabilities Processes, Workflows, Policies, Procedures Rules for Products, s, Processes Information for Products, Processes, Controls Products and s Configuration of & Information Demands 17 SCC 2010 Washington DC, SERVICE COMPUTATION Lisbon, Rome, Nice, Valencia Prof. Dr.

18 Enterprise Management & Cloud Computing ESARC - Enterprise s Reference Cube Information Systems Reference & Systems Monitoring s Collaboration s Interaction s Process s Utility s Rule s Task s Event Handling s Channel Consumer and Integration s Analytics Batch s s Access s Objects and Components Information s for Enterprise Data Operational Systems Configuration of Application Systems 18 SCC 2010 Washington DC, SERVICE COMPUTATION Lisbon, Rome, Nice, Valencia Prof. Dr.

19 Enterprise Management & Cloud Computing ESARC - Enterprise s Reference Cube Technology Reference Collaboration Framework Choreography Framework Systems Management Platform Interaction Framework Desktop, Web, Mobile Process Orchestration Server Rule Server Product Configuration, Process Rules, Policies TP Monitor System Enterprise Bus Application Server Database System Portal & Workflow Server MQ System Security System Configuration of Infrastructure Products 19 SCC 2010 Washington DC, SERVICE COMPUTATION Lisbon, Rome, Nice, Valencia Prof. Dr.

20 Enterprise Management & Cloud Computing ESARC - Enterprise s Reference Cube Operation Reference & Systems Operation and Monitoring Source: Configuration of Operation-supported People and Systems 20 SCC 2010 Washington DC, SERVICE COMPUTATION Lisbon, Rome, Nice, Valencia Prof. Dr.

21 Enterprise Management & Cloud Computing ESARC - Enterprise Software Reference Cube Cloud s Reference Management Platform Measured Rapid Elasticity Resource Pooling Broadband Network Access On-Demand Self BaaS ( as a ) SaaS (Software as a ) PaaS (Platform as a ) IaaS (Infrastructure as a ) Private Cloud Community Cloud Hybrid Cloud Public Cloud Configuration of s and Procedures Source: Adaptation of NIST Cloud Computing Synopsis and Recommendations 21 SCC 2010 Washington DC, SERVICE COMPUTATION Lisbon, Rome, Nice, Valencia Prof. Dr.

22 Enterprise Management & Cloud Computing Conclusion and Future Work n ESARC - The Enterprise s Reference Cube extends related work and existing standards aiming to serve as a integral classification scheme for diagnostics and optimization of services & cloud computing enterprise architectures and systems n Based on the related work from TOGAF, ArchiMate, Reference Models and s for s Computing, Cloud Computing Reference s and Models, and EAM & Cloud Patterns we are researching and integrating Reference s and Reference Implementations to serve for SME and all sized enterprises to support capability diagnostics and improvement for enterprise services & cloud computing architectures n The empirical validation of our research work is an ongoing process, which has to be synchronized with future cyclic evaluations of EAM with Cloud Computing s n In a parallel project of the SOA Innovation Lab and the ARL Reference Lab - we are currently extending our service-oriented enterprise architecture frameworks and instruments to support recurring assessments of cloud services, services engineering methods, as well as methods and tools for management and monitoring-based control of heterogeneous services & cloud computing architectures and systems n To improve semantic-based navigation and automatically supported machine inference within the complex space of Enterprise Management for s and Cloud Computing we are currently working on metamodels, ontology models, and method frameworks for ESARC n Future work respects conceptual work on patterns to visualize and manage enterprise architecture artifacts and control information as part of an architecture management cockpit 22 Prof. Dr.