Practical Guide to Federal Enterprise Architecture Preface
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Ewsolutions Enterprise Architecture, Data Architecture, Data
EWSolutions Enterprise Architecture, Data Architecture, Data Governance, Metadata Management Case Study Leveraging Existing Investments in Systems, Data and Personnel to Improve Logistics and Supply Chain Management for Defense Operations Enterprise architecture planning and development, data architecture, metadata management, data governance, and enterprise data integration combined to ensure the success of the world's largest defense logistics and supply chain. EWSolutions, Inc. 1/25/2017 Developing and Implementing a New Defense Logistics Supply Chain: A Case Study in How EWSolutions Enabled Success for the US Department of Defense The Department of Defense (DoD) is America's oldest and largest government agency. It employs a civilian force of 742,000, along with over 1.3 million men and women on active duty; it is the United State's largest employer. Another 826,000 people serve in the National Guard and Reserve forces. The national security depends on defense installations, people, and facilities being in the right place, at the right time, with the right qualities and capacities to protect the security of the United States and allies. These military service members and civilians operate in every time zone and in every climate. More than 450,000 employees are overseas, both afloat and ashore. This complexity extends to the logistics, communication, and supply chain needed to connect and furnish these employees and dependents with all the required resources (food, clothing, weapons, etc.) The mission of the US Department of Defense is to provide the military forces needed to deter war and to protect the security of the United States. Fulfilling this mission requires a large variety of resources; securing and delivering those resources to the right place at the right time in the right quantities requires accurate information that comes from complete and valid data. -
Enterprise Architecture
Enterprise Architecture Dr. Adnan Albar Faculty of Computing & Information Technology King AbdulAziz University - Jeddah 1 Enterprise Architecture Methods Lecture 5 Week 5 Slides King AbdulAziz University - FCIT 2 Overview . Description Languages for Business & IT Domains . IDEF . BPMN . Testbed . ARIS . Unified Modeling Language . Service-Oriented Architecture (SOA) Slide 3 Description Languages . In domains such as business process design and software development, we find established description languages for modeling these domains. For software modeling, UML is of course, the single dominant language. In organization and process modeling, on the other hand, a multitude of languages are in use: there is no standard for models in this domain. We will focus on languages that either find widespread use or have properties that are interesting from the perspective of our goals in developing an enterprise architecture language. Slide 4 IDEF – Integrated DEFinition Methods .IDEF is a family of languages .Used to perform enterprise modeling and analysis .Currently, there are 16 IDEF methods. Of these methods, IDEF0, IDEF3, and IDEF1X (‘the core’) are the most commonly used. Slide 5 IDEF – The Scope it Covers .Functional modeling, IDEF0: The idea behind IDEF0 is to model the elements controlling the execution of a function, the actors performing the function, the objects or data consumed and produced by the function, and the relationships between business functions (shared resources and dependencies). .Process modeling, IDEF3: IDEF3 captures the workflow of a business process via process flow diagrams. These show the task sequence for processes performed by the organization, the decision logic, describe different scenarios for performing the same business functions, and enable the analysis and improvement of the workflow. -
Openfog Reference Architecture for Fog Computing
OpenFog Reference Architecture for Fog Computing Produced by the OpenFog Consortium Architecture Working Group www.OpenFogConsortium.org February 2017 1 OPFRA001.020817 © OpenFog Consortium. All rights reserved. Use of this Document Copyright © 2017 OpenFog Consortium. All rights reserved. Published in the USA. Published February 2017. This is an OpenFog Consortium document and is to be used in accordance with the terms and conditions set forth below. The information contained in this document is subject to change without notice. The information in this publication was developed under the OpenFog Consortium Intellectual Property Rights policy and is provided as is. OpenFog Consortium makes no representations or warranties of any kind with respect to the information in this publication, and specifically disclaims implied warranties of fitness for a particular purpose. This document contains content that is protected by copyright. Copying or distributing the content from this document without permission is prohibited. OpenFog Consortium and the OpenFog Consortium logo are registered trademarks of OpenFog Consortium in the United States and other countries. All other trademarks used herein are the property of their respective owners. Acknowledgements The OpenFog Reference Architecture is the product of the OpenFog Architecture Workgroup, co-chaired by Charles Byers (Cisco) and Robert Swanson (Intel). It represents the collaborative work of the global membership of the OpenFog Consortium. We wish to thank these organizations for contributing -
Integrating IT Portfolio Management with Enterprise Architecture Management 79
Enterprise Modelling and Information Systems Architectures Vol. 8, No. 2, December 2013 Integrating IT Portfolio Management with Enterprise Architecture Management 79 Daniel Simon, Kai Fischbach, Detlef Schoder Integrating IT Portfolio Management with Enterprise Architecture Management The management of information technology (IT) as a business has become a crucial factor in today’s complex and dynamic environments. Many firms thus have implemented IT portfolio and enterprise architecture (EA) management practices, and academic research has paid increasing attention to these concepts. However, their integration seems poorly substantiated; this article therefore seeks to answer two main questions: (1) What are differences and common characteristics of IT portfolio and EA management, and in what way can they be integrated? and (2) what factors and types might describe an integrated process design of EA management and project portfolio management in particular? To answer these questions, this study synthesises previous research and surveys EA practitioners to propose an EA management process map, as well as three descriptive factors and four clusters, which provide an integrated process design with project portfolio management. The interrelations with organisational aspects and software tool support are also explored. This article thereby clarifies and systematises the subject area while also offering advice for researchers and practitioners. 1 Introduction structured, business-like approach to IT manage- ment that comprises application, infrastructure, The notion of managing information technology service, and project portfolio management (Ben- (IT) as a business (Lientz and Larssen 2004) has son et al. 2004; Kaplan 2005). attracted significant attention, particularly as IT environments grow steadily more complex and Integration is equally critical to EA management, thus more difficult to manage. -
Core System Architecture Viewpoints
Core System System Architecture Document (SAD) www.its.dot.gov/index.htm Draft — September 6, 2011 Produced by Lockheed Martin ITS Joint Program Office Research and Innovative Technology Administration U.S. Department of Transportation Notice This document is disseminated under the sponsorship of the Department of Transportation in the interest of information exchange. The United States Govern- ment assumes no liability for its contents or use thereof. Report Documentation Page Form Approved OMB No. 0704-0188 The public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing the burden, to Department of Defense, Washington Headquarters Services, Directorate for Informa- tion Operations and Reports (0704-0188), 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS. 1. REPORT DATE (DD MM YYYY) 2. REPORT TYPE 3. DATES COVERED 06 09 2011 (Draft Specification) Month YYYY – Month YYYY 4. TITLE AND SUBTITLE 5a. CONTRACT NUMBER Core System: System Architecture Document (SAD) Draft GS-23F-0150S 5b. GRANT NUMBER Xxxx 6. AUTHOR(S) 5c. PROGRAM ELEMENT NUMBER Core System Engineering Team Xxxx 5d. -
Steps in Enterprise Modelling Aroadmap
Steps in Enterprise Modelling aRoadmap Joannis L. Kotsiopoulos\ (Ed.), Torsten Engel2, Frank-Walter Jaekel3, Kurt Kosanke4, Juan Carlos Mendez Barreiro 5, Angel Ortiz Bas6, Michael Petie, and Patrik Raynaud8 1Zenon S.A., Greece, 2Fztr PDE, Germany, 3FhG-IPK, Germany, 4CIMOSA Association, Germany, 5AdN Internacional, S.A. de C. V., Mexico, 6Universidad Politecnica de Valencia, Spain, 7Univ. Notre-Dame de Ia Paix, Namur, Belgium, 8PSA, France, [email protected] Abstract: see Quad Chart on page 2 1 INTRODUCTION Advances in Information Technology have made Enterprise Modelling possible for many enterprises of today. A variety of software tools has ap peared in the market, processing power has dramatically increased, model ling architectures have evolved and even matured. Despite such advances however, widespread use of models, as a strategic decision support tool en compassing large industrial sectors, remains unattainable. The working group analysed the current situation, identified major problems and issues as causes and suggested a roadmap for the next steps in Enterprise Modelling. The following Quad-Chart (Table 1) summarises the work of the group that addressed those requirements. It identifies the approach taken to resolve the issues and proposes a project and ideas for future work for testing and enhancing the proposed solutions. The original version of this chapter was revised: The copyright line was incorrect. This has been corrected. The Erratum to this chapter is available at DOI: 10.1007/978-0-387-35621-1_43 K. Kosanke -
Enterprise Architecture and Systems Engineering
Enterprise Architecture and Systems Engineering Peter Webb BMT Defence Services Limited, United Kingdam, [email protected] Abstract: Factors such as the end of the cold war and increasing globalisation in tenns of competition and social responsibility have significantly increased the complex ity of events addressed both by governments and by industry. Furthennore, their responses are increasingly more constrained by economic and environ mental issues. It is clear that the large complex "socio-techno-economic" sys tems (i.e. enterprises) that may comprise as well as create and deliver these re sponses must be both agile and efficient. An approach to the analysis, design and specification of such enterprises is presented which draws on state of the art Enterprise Architecture concepts and Systems Engineering techniques. The resulting EA/SE method enables clear justification of design, definition of in terfaces and derivation of validated requirements. Comparisons are drawn to Zachman and ISO 15704 - GERA concepts. 1 INTRODUCTION This paper describes how enterprise architecture concepts and systems engineering techniques have been combined to provide a new approach to the analysis, design and specification of enterprises. It has been named the Enterprise Architecture I Systems Engineering (EA/SE) method. Enterprise architecture provides a rich but generic framework that guides the construction of enterprise models. Furthermore, it enables stakeholder needs and expectations to be identified and traced to technological design while facilitating integration efforts. Systems engineering provides the tools and techniques to create "well engineered" enterprise architectures. In particular, it uses modelling as a means for analysis, improvement and validation of proposed solutions. Sys- The original version of this chapter was revised: The copyright line was incorrect. -
Fundamentals of Enterprise Systems Engineering (ESE)* Outline
1 On Complex Adaptive System Engineering (CASE) Brian E. White, Ph.D. Director, Systems Engineering Process Office (SEPO) The MITRE Corporation 12 May 2008 8th Understanding Complex Systems Symposium University of Illinois at Champaign-Urbana 12-15 May 2008 Public Release Case Number: 08-1459 © 2008 The MITRE Corporation. All rights reserved Fundamentals of Enterprise Systems Engineering (ESE)* Outline Big Ideas Basics of ESE – Making it an engineering discipline Next generation systems thinking An example ____________ * ESE can be thought of as the same as complex systems engineering (CSE) 2 [White, 2008b] © 2008 The MITRE Corporation. All rights reserved but there can be nuances of difference. See Charts 8 and 44. Big Ideas Complex systems abound – Mega-projects in transportation, the environment, U.S. DoD’s Global Information Grid (GIG), etc. – Internet culture—massive connectivity and interdependence Complexity theory applies – Much activity in complexity science across many fields – University interest in developing ideas for engineering (MIT, Johns Hopkins, UCSD, USC, Stevens, UVM, U of I, Old Dominion) Complexity is embedded in everyday knowledge – The Gardener metaphor (vs. The Watchmaker) – Biology and natural evolutionary processes – The way we think, our language/semantics – Markets (viz., The Wisdom of Crowds, The Black Swan) Traditional Systems Engineering (TSE) methods may not help – But temptation is strong to keep trying them One can dependably, but not predictably, build complex systems – Using systems thinking and Complex Systems Engineering (CSE) 3 [White, 2008b] © 2008 The MITRE Corporation. All rights reserved A Spectrum of Systems See Notes Page System: An instance of a set of degrees of freedom* having relationships with one another sufficiently cohesive to distinguish the system from its environment.** *Normally grouped into subsets or elements **This cohesion is also called system identity Less complex More complex Pre-specified Evolving 4 [White, 2008b] and [Kuras-White, 2005] © 2008 The MITRE Corporation. -
Integration of Product, Process and Functional Orientations: Principles and a Case Study
Integration of product, process and functional orientations: principles and a case study Ruth Sara Saven and Jan Olhager LinkiJping Institute of Technology, Department of Production Economics, SE- 581 83 LinkiJping, SWEDEN Email: [email protected]. [email protected] Abstract Companies are traditionally divided in specialised areas in a hierarchical organisation, usually referred to as functions. On the other hand, during the last decade companies have realised the importance of their processes. When they change towards a "process orientation" they must overcome some organisational problems to integrate the new process orientation into the already existing functional organisation. Besides, more and more importance is given to the specific characteristics of products, leading to product-driven manufacturing e.g. focussing on the product life cycles. Thus, one may find companies dealing with three different ways of working at the same time: product orientation, function orientation and process orientation. This paper addresses how product, process and functional orientations can be integrated, with the purpose of improving collaborative production management. In supply chains and networks it is of vital importance that concepts and terminology are shared among the collaborative partners. Even though this paper focuses on these issues for internal operations, the results can easily be transferred to multi-plant collaborative production environments. The proposed framework aims at providing a bridge between the Enterprise Integration and Operation Management fields. We identify important issues and factors to be considered, as well as point to approaches for analysing production systems based on an integrative view. Specifically we discuss the application of "model views" in analysing product, process and functional orientations in an empirical study of a large telecommunications company. -
Enterprise Architecture for Project Managers
Enterprise Architecture for Project Managers JK Corporate Services (JKCS) Authored by: Stan Ketchum, PMP Enterprise Architecture for Project Managers by Stan Ketchum is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License Enterprise Architecture for Project Managers Table of Contents Introduction .................................................................................................................................... 1 Purpose ........................................................................................................................................... 2 What Is Enterprise Architecture? ................................................................................................... 2 Why Is EA Needed? ..................................................................................................................... 2 What are the benefits of EA? ...................................................................................................... 3 EA vs Projects .............................................................................................................................. 3 What Does EA Consist of? ............................................................................................................... 4 EA Domains ................................................................................................................................. 4 Business Architecture ............................................................................................................ -
Architecting Software the SEI Way Twitter #Seiarchitecture © 2012 Carnegie Mellon University Outline Essential Problems for Architects
Analyzing and Evaluating Enterprise Architectures John Klein Senior Technical Staff John has over 20 years experience developing systems and software. He joined SEI in 2008. Before joining SEI, John was a chief architect at Avaya, Inc. There his responsibilities included development of multimodal agents, architectures for communication analytics, and the creation and enhancement of the Customer Interaction Software Product Line architecture. Prior to that, John was a software architect at Quintus, where he designed the first commercially successful multi- channel integrated contact center product and led the technology integration of the product portfolio as Quintus acquired several other companies. See his full bio at: www.sei.cmu.edu/go/architecting-software-the-sei-way Architecting Software the SEI Way Twitter #SEIArchitecture © 2012 Carnegie Mellon University Outline Essential problems for architects - • How do we efficiently translate business goals into quality attribute requirements? • How do we ensure that these quality attribute requirements are reflected in the tradeoffs and decisions that shaped the architecture? Agenda • Review of the SEI perspective on architecture-centric engineering • Scaling from software context to systems of systems and enterprise architectures • An approach to developing quality attribute requirements for enterprise architectures • An approach to first-pass evaluation of enterprise architectures • Tying together EA and system/software analysis and evaluation Architecting Software the SEI Way 1 Twitter #SEIArchitecture © 2012 Carnegie Mellon University Architecture-centric Engineering – Software and Systems IMPLEMENT AND EVOLVE DESIGN IMPLEMENT BUSINESS AND MISSION GOALS ARCHITECTURE SYSTEM SATISFY CONFORM SATISFY Architecting Software the SEI Way Twitter #SEIArchitecture © 2012 Carnegie Mellon University Principles of Architecture-Centric Engineering Every system has an architecture, regardless of scale. -
System-Of-Systems Viewpoint for System Architecture Documentation
System-of-Systems Viewpoint for System Architecture Documentation John Klein∗ and Hans van Vliet† VU University, Amsterdam, Netherlands Revised 11 Nov 2017 Abstract Context: The systems comprising a system of systems (SoS) are inde- pendently acquired, operated, and managed. Frequently, the architecture documentation of these existing systems addresses only a stand-alone perspective, and must be augmented to address concerns that arise in the integrated SoS. Objective: We evaluated an architecture documentation viewpoint to address the concerns of a SoS architect about a constituent system, to support SoS design and analysis involving that constituent system. Method: We performed an expert review of documentation produced by applying the viewpoint to a system, using the active review method. Results: The expert panel was able to used a view constructed using the baseline version of the viewpoint to answer questions related to all SoS architect concerns about a constituent system, except for questions concerning the interaction of the constituent system with the platform and network infrastructure. Conclusions: We found that the expert panel was unable to answer certain questions because the baseline version of the viewpoint had a gap in coverage related to relationship of software units of execution (e.g., processes or services) to computers and networks. The viewpoint was revised to add a Deployment Model to address these concerns, and is included in an appendix. arXiv:1801.06837v1 [cs.SE] 21 Jan 2018 Keywords: architecture documentation; system of systems; viewpoint defi- nition; active review; expert panel; design cycle 1 Introduction A system of systems (SoS) is created by composing constituent systems.