1. Open Group EA conference, Brussels, 22 nd April 2004 Track #4A: Enterprise Architecture and Technology Operational Enterprise Architecture European Research Contributions Presentation by Frank Lillehagen, Helge G. Solheim and Einar Dehli Computas

2. Reproduction prohibited without permission from Computas AS © Contents Contributing projects Industrial challenges EA role today – TOGAF, DoDAF, Zachman etc. EA Vision and Objectives Perspective Views: SE, KM, Bus., etc. Layered Operational Enterprise Architecture Role of the Enterprise Knowledge Architecture (EKA) Core supporting AKM technology concepts Work ahead – challenges Conclusions – Q and A

3. Reproduction prohibited without permission from Computas AS © Contributing projects U E L M Extended Enterprise Research Networking and Learning: www.EXTERNAL-IST.org www.EXTERNAL-IST.org UEML (Unified Enterprise Modelling Language) www.UEML.org www.UEML.org Interoperability Development for Enterprise Application and Software – Roadmaps www.IDEAS-roadmap.net www.IDEAS-roadmap.net Advanced Technologies for Interoperability of Heterogeneous Enterprise Networks and their Application www.ATHENA-IST.orgwww.ATHENA-IST.org

4. Reproduction prohibited without permission from Computas AS © Industrial Challenges Unfullfilled promises – some 20 challenges: ”Do-it-right-first –time” – originated in 1986 – ICAM project ”Doers plan and Planners do!” – integrating modeling and execution? Legacy Systems and Legacy thinking The introduction of the Application System Process Engineering requires at least three functional views of process Lack of understanding of Enterprise Knowledge Architecture From KM to KP to KC True KM Systems requires an integrated modeling and execution platform and many kinds and types of services (sw, task, script, agent) The interoperable On-demand Enterprise Platform and Services to rapidly build an opportunistic solution Systems Engineering Evolution System of Systems Nd Total Systems thinking – Need continuous User Interaction with Enterprise Knowledge New approach to Work Management The key to Concurrent Engineering and Networked Organizations

5. Reproduction prohibited without permission from Computas AS © EA role today – a methodology System Design A System Design B Knowledge Arch. Enterprise Knowledge Repository Must be created from common architecture Partial Models Frameworks Metamodels Enterprise Models IT Infrastructure Interoperable, aligned with business

6. Reproduction prohibited without permission from Computas AS © EA Vision and Objectives Model-driven Customized Platforms Enterprise models (POPS, generic EKA ) Platform- specific Models Dynamic Mapping Configuration Platform Independent Models Platform Specific Models Enterprise Deployment Models Configuration Model composition Dynamic Mapping Metis Team Repository Model Designed Operational Solutions

7. Reproduction prohibited without permission from Computas AS © Model Execution platform (includes code and model-driven services from the level below) Programming and code generation. PSM services that are coded become part of the PIM execution platform, implemented PIM services become part of the AKMii. Ad-hoc, unique processes (partial automation) Repetitive, adaptive routine processes Standard, repetitive, static processes Processes executed by platform End user Process designer System designer Systems Engineering View R R R R Repository Many more views of the same structures and meta-data!!

8. Reproduction prohibited without permission from Computas AS © Layered Operational Enterprise Architecture Integrated by Intelligent Infrastructures Inter-related reflective views of key roles – replacing frameworks as mosaics of static kinds and types of views (the knowledge legacy from paper carriers) Business layer: Meth. model, operations, strategy, governance,.. Enterprise Knowledge Arch., EKA layer: POPS meth., EIS templates, UEML +++ ICT Architecture, UEPS, services as reusable tasks, servers and AKM repositories Law, rules, principles, agreed practices and norms, day to day routines Userviews (types and kinds), Enterprise-models and sub- models, Meta-models: Languages, Structures and Type-hierarchies Access services, capabilities to integrate legacy systems, extract data, handle parameterised sub-models EKA- POPS Layers, aspects:Logic and content:

9. Reproduction prohibited without permission from Computas AS © The role of the Enterprise Knowledge Arch. Enterprise Information Portal – from 1995 From Newspaper publishing to Advanced Information Management Enterprise Integration Portals – from 1999 From Application Integration to Web-services Integration Enterprise Design and Development Platforms Model Designed Solutions Customizing Portal-based Project Engineering Management Platforms. The portal layout and capabilities will be model- designed and the contents will be model-generated and managed.

10. Reproduction prohibited without permission from Computas AS © Core supporting AKM technology concepts Enterprise Knowledge Spaces implemented using POPS to build the EKA and design/generate Enterprise Visual Scenes AMIS Scene of Action Each step is a set of operational and descriptive, reflective views PPPC POPS SSFT

11. Reproduction prohibited without permission from Computas AS © Work ahead - challenges Control and manage the core knowledge of any enterprise, knowledge models built on Enterprise Knowledge Architectures (EKA) must be supported using languages implementing the POPS methodology ! [3] Web Component (Portlet) PEME Model Model-generated Workplaces Model Repository OrganizationProductsSystemsProcesses AKMii is a configurable web platform where solutions are model-designed, and the user environment is dynamically model-generated.

12. Reproduction prohibited without permission from Computas AS © Reuse of EA Models in Solution Design

13. Reproduction prohibited without permission from Computas AS © AKM platforms – some KM/KC conclusions Knowledge development and capture is holistic modeling of enterprise aspects and views, Knowledge creation is executing meta- modeling tasks and services, extending the contents of the EKA, Knowledge use and value creation is performing model interrogations, analyses, and work (task and method) execution, Knowledge management is developing and managing meta-models and architectures, and supporting governance views. Cognitive and Generative Learning prepares knowledge for practical use as Competence, Skill and Attitude profiles, Experiences and Wisdom of new ways of working drive new methods and change. Custom. EKA

14. Reproduction prohibited without permission from Computas AS © Conclusions Model-driven architecture is a reality Model-generated workplaces have been prototyped Model–designed web-solutions are targetted for 2005 Model-integrated enterprises will soon be a reality Model-produced software components ….. Model-managed knowledge and web-services …. Model-performed integrated analysis ……. These models must be Active Knowledge Models !!

15. shaping the knowledge communities of the future Computas NA, Inc. Sales Contact: Phone: +1-425 391 2000 Fax: +1-425 313 0231 Email: nasales@computas.comnasales@computas.com Mailing address: Computas NA, Inc. 2721 226th Ave SE Sammamish, WA 98075, USA Computas AS General Contact: Phone: +47-67 83 10 00 Fax: +47-67 83 10 01 Email: info@computas.cominfo@computas.com Mailing address: Computas AS P.O.Box 482 N-1327 Lysaker, Norway Visiting address: Vollsveien 9 N-1327 Lysaker, Norway Web: www.computas.comwww.computas.com Computas AB Sales Contact: Par Larsson Phone: +46 (0)8 7406050 Email: Par.Larsson@computas.comPar.Larsson@computas.com RTD: www.akmii.netwww.akmii.net