The Role of Architecting in Systems of Systems
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Managing Requirements for a System of Systems
Orchestrating a Systems Approach Managing Requirements for a System of Systems Ivy Hooks Compliance Automation, Inc. As we encounter more system of systems (SOS) and more complex SOS, we must consider the changes that will be required of our existing processes. For example, requirements management has been focused on a system or a product. This article looks at how the SOS has evolved, including what parts of requirements management apply to the SOS and where the process will need revision. It also discusses the need for dynamic scope for the SOS and more use of standards to interface the sys- tems. Challenges definitely exist in SOS, not just in the Department of Defense but also in every aspect of the networked world. Our existing requirements management process is necessary, but not sufficient for the SOS. here is much in literature depicting ent data processing systems – one for each new systems to accomplish their mission system of systems (SOS) [1]. I will use satellite program. The person providing without reinventing the wheel or duplicat- theT characteristics Maier [2] has defined the tour had no idea why things were like ing capabilities. Writing requirements to (in boldface below), followed by my sum- they were, but I later talked to a NASA interface to these existing systems is gen- mary of each. headquarters person who explained it very erally straightforward, involving an under- 1. Operational Independence of the clearly. “Of course fewer systems would standing of what the new system must do Individual Systems. If you decom- be better, but we can’t take the risk. -
The History of Enterprise Architecture: an Evidence-Based Review
Article The History of Enterprise Architecture: An Evidence-Based Review Svyatoslav Kotusev Abstract The conventional wisdom says that the concept of Enterprise Architecture (EA) originated from the pioneering work of John Zachman. He is frequently referred to as the “father” of EA and many consider the Zachman Framework to be the breakthrough that created the discipline of EA and provided the foundation for all subsequent EA frameworks and methodologies. Is Zachman’s “A Framework for Information Systems Architecture” really the seminal publication of the EA discipline? Is it really the first EA framework? Did it really profoundly influence modern EA methodologies? In order to answer these questions, in this article I describe an evidence-based history of EA and trace the origins of all essential ideas constituting the basis of the modern concept of EA. Keywords Enterprise Architecture, history, frameworks, Zachman Framework, Business Systems Planning divided into three distinct periods: Business Systems INTRODUCTION Planning, early EA, and modern EA. Almost every publication on Enterprise Architecture (EA) BUSINESS SYSTEMS PLANNING cites the Zachman Framework (Zachman 1987) as a seminal EA publication that fundamentally shaped the The idea of deliberate information systems planning is discipline of EA. Authors routinely call John Zachman far from new. Early planning approaches proposed the “father” of EA and consider his framework paper to various considerations on how to design corporate be the initial breakthrough publication that created the information systems based on an organizational strategy very concept of EA and significantly influenced its (King 1978), data flows between departments modern understanding. Moreover, many authors argue (Blumenthal 1969), suppliers and orders (Carlson 1979; that the Zachman Framework inspired all other Kerner 1979), critical success factors (Rockart 1979), subsequent EA frameworks and methodologies. -
On the State-Of-The-Art in Enterprise Architecture Management Literature
FAKULTAT¨ FUR¨ INFORMATIK DER TECHNISCHEN UNIVERSITAT¨ MUNCHEN¨ Technical Report On the State-of-the-Art in Enterprise Architecture Management Literature Sabine Buckl and Christian M. Schweda II Abstract The enterprise architecture (EA) and its management are topics receiving ongoing interest from academia, practitioners, standardization bodies, and tool vendors. Over the last decade and especially in the last five years, much has been said and written on these topics that nevertheless have a much longer history dating back to the nineties of the last century. In these days, John Zachman was one of the first to understand the ‘bigger whole’ in which IS architecting and IS development is embedded. Ever since these days, the canonic knowledge on this topic, which would later become known as “EA management”, has been furthered by many contributors originating from different philosophical, educational, and theoretical backgrounds, leading to numerous presentations and publications in this area. But while each article, paper or book extends the body of knowledge, it also ‘raises the stakes’ for anyone willing to enter this field of engagement. Especially, young researchers novel to this area that is not covered that much in university education than it perhaps should, find themselves confronted with a vast amount of ‘hits’, when they enter “EA management” as keyword in their favorite (scientific) search engine. This report aims at charting the landscape of EA management research and practice. Applying a generic framework for structuring the body of knowledge in the field into the two core areas of “method” and “language”, the work provides an overview on the state-of-the-art in the field, delineates interesting questions for future research, and shows how different approaches taken may be worthwhile subjects for researching how they may complement each other. -
Emergent Behavior in Systems of Systems John S
Emergent Behavior in Systems of Systems John S. Osmundson Thomas V. Huynh Department of Information Sciences Department of Systems Engineering Naval Postgraduate School Naval Postgraduate School 1 University Circle 1 University Circle Monterey, CA 93943, USA Monterey, CA 93943, USA [email protected] [email protected] Gary O. Langford Department of Systems Engineering Naval Postgraduate School 1 University Circle Monterey, CA 93943 [email protected] Copyright © 2008 by John Osmundson, Thomas Huynh and Gary Langford. Published and used by INCOSE with permission. Abstract. As the development of systems of systems becomes more important in global ventures, so does the issues of emergent behavior. The challenge for systems engineers is to predict and analyze emergent behavior, especially undesirable behavior, in systems of systems. In this paper we briefly discuss definitions of emergent behavior, describe a large-scale system of system that exhibits emergent behavior, review previous approaches to analyzing emergent behavior, and then present a system modeling and simulation approach that has promise of allowing systems engineers to analyze potential emergent behavior in large scale systems of systems. Introduction Recently there has been increased interest in what has been become known as systems of systems (SoS) and SoS engineering. Examples of SoS are military command, control, computer, communications and information (C4I) systems (Pei 2000), intelligence, surveillance and reconnaissance (ISR) systems (Manthrope 1996), intelligence collection management systems (Osmundson et al 2006a), electrical power distribution systems (Casazza and Delea 2000) and food chains (Neutel 2002.), among others. Much of this current interest in SoS is focused on the desire to integrate existing systems to achieve new capabilities that are unavailable by operation of any of the existing single individual systems. -
Enabling Constructs and Methods from the Field of Engineering Systems
Architecting the System of Systems Enterprise: Enabling Constructs and Methods from the Field of Engineering Systems The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation Rhodes, D.H., A.M. Ross, and D.J. Nightingale. “Architecting the system of systems enterprise: Enabling constructs and methods from the field of engineering systems.” Systems Conference, 2009 3rd Annual IEEE. 2009. 190-195. © Copyright 2009 As Published http://dx.doi.org/10.1109/SYSTEMS.2009.4815796 Publisher Institute of Electrical and Electronics Engineers Version Final published version Citable link http://hdl.handle.net/1721.1/60049 Terms of Use Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. IEEE SysCon 2009 —3rd Annual IEEE International Systems Conference, 2009 Vancouver, Canada, March 23–26, 2009 Architecting the System of Systems Enterprise: Enabling Constructs and Methods from the Field of Engineering Systems Donna H. Rhodes, Adam M. Ross, and Deborah J. Nightingale Massachusetts Institute of Technology 77 Massachusetts Avenue, Building E38-572 Cambridge, MA 02139 http://seari.mit.edu Abstract. Engineering systems is a field of scholarship focused on engineering, calling for identifying “Considerations for developing fundamental theories and methods to address the SoS/Enterprise Engineering” as one of six recommended challenges of large-scale complex systems in context of their socio- research initiatives. Experts attending this workshop agreed technical environments. The authors describe facets of their recent that system-of-systems engineering and complex enterprise and ongoing research within the field of engineering systems to engineering present new challenges in identifying and develop constructs and methods for architecting enterprises engaged in system-of-systems (SoS) engineering,. -
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. -
Systems of Systems Engineering and the Internet of Things Or “Your Iot App Is Only As Good As It’S Least Stable Interface”
Systems of Systems Engineering and the Internet of Things Or “Your IoT App is only as good as it’s least stable interface” GJ Bleakley ([email protected]) M Hause ([email protected]) Elemental Links Agenda • Introduction – What are systems of systems – The IOT as a special class of Systems of System – Perceived approach to developing IOT Systems • Architecture and Engineering the I/IoT – Challenges of I/IoT – IIC Reference Architecture – UAF Elemental Links 2 What is a SoS • A SoS is an integration of a finite number of constituent systems which are independent and operatable, and which are networked together for a period of time to achieve a certain higher goal. (Jamshidi 2009) 3 Systems vs. Enterprise vs. SoS • System Engineering is like specifying a building, e.g. a swimming pool • Enterprise Architecture is like urban planning • – Need for the swimming pool driven by council/government health objectives • The Swimming Pool is only part of the solution • Other means to reach the objective, e.g.. running tracks, cycle lanes • Need to integrate these solutions into existing services • Provide service infrastructure to support and maintain them Elemental• EA Links is about managing and developing Systems of Systems 4 Example: Traffic Management Case Study Scenarios (from DANSE) •Trip Preparations •City traffic – Interactions with other autonomous cars – Interactions with pedestrians – Overtaking Situations •Autonomous Parking •Public Driverless Taxi •PDL back to the airport •Private Car comes home •Billing Elemental Links 5 traits of SoS – Maier (2+3) • Operational independence – The constituent systems can operate independently from the SoS and other systems. -
Systems Engineering Guide: 7 Considerations for Systems Engineering 8 in a System of Systems Environment 9 10 11
1 2 3 4 5 System of Systems 6 Systems Engineering Guide: 7 Considerations for Systems Engineering 8 in a System of Systems Environment 9 10 11 12 13 14 15 16 17 18 19 20 21 Version 1.0 DRAFT 22 14 December 2007 23 24 25 26 27 28 29 30 Director, Systems and Software Engineering 31 Deputy Under Secretary of Defense (Acquisition and Technology) 32 Office of the Under Secretary of Defense 33 (Acquisition, Technology and Logistics) 34 35 1 36 Preface 37 38 The Department of Defense (DoD) continually seeks to acquire material solutions to 39 address capability needs of the war fighter in military operations and to provide efficient 40 support and readiness in peacetime. A growing number of these capabilities are 41 achieved through a system of systems (SoS) approach. As defined in the DoD Defense 42 Acquisition Guidebook [2004], an SoS is “a set or arrangement of systems that results 43 when independent and useful systems are integrated into a larger system that delivers 44 unique capabilities.” 45 46 Systems engineering (SE) is a key enabler of systems acquisition. SE practices and 47 approaches historically have been described with a single system rather than an SoS in 48 mind. This guide examines the SoS environment as it exists in the DoD today and the 49 challenges it poses for systems engineering. Specifically, the guide addresses the 16 50 DoD Technical Management Processes and Technical Processes presented in the 51 Defense Acquisition Guidebook [2004] Chapter 4 “Systems Engineering” in the context 52 of SoS. -
(2008). Exploring the Impact of Systems Architecture
Exploring the Impact of Systems Architecture and Systems Requirements on Systems Integration Complexity Dr. Rashmi Jaini, Anithashree Chandrasekaran, George Elias, Dr. Robert Cloutier Stevens Institute of Technology [email protected], [email protected], [email protected], [email protected] Abstract development projects in the government The need to perform faster systems sector. integration of complex systems require the Keywords: System Architecture, System architect and design team understand how Integration, Integration Complexity, System the selected architecture and design Requirements components will impact the system Introduction integration processes complexity. System It is necessary to determine if integration process complexity is an integration of the defined physical elements outcome of the interaction between degree and interfaces in system architecture of feasibility and level of effort required to contributes to system integration process understand, describe, implement, manage complexity. Today’s systems are usually and document the system integration process expected to function independently and in for a given system development and cooperation with the existing systems operational environment. This paper (system of systems). The cooperating analyzes the cause and effect relationships systems undergo frequent changes and between the system requirements, interoperability becomes a key factor and a architecture and the system integration major contributor to system integration processes complexity. In order to address process complexity. Interoperability is based systems integration issues upfront in the on the existence of the conceptual view design phase it is necessary to determine if [Carney and Oberndoff, 2004]. The the architecture and design of components, conceptual view can be embodied in sub-systems, processes and interfaces requirements and architecture/design and the impacts (and to what extent) system system architecture determines the level of integration process complexity. -
LNCS 4561, Pp
Role of Humans in Complexity of a System-of-Systems Daniel DeLaurentis School of Aeronautics and Astronautics, Purdue University, West Lafayette, IN, USA [email protected] Abstract. This paper pursues three primary objectives. First, a brief introduc- tion to system-of-systems is presented in order to establish a foundation for ex- ploration of the role of human system modeling in this context. Second, the sources of complexity related to human participation in a system-of-systems are described and categorized. Finally, special attention is placed upon how this complexity might be better managed by greater involvement of modeling of human behavior and decision-making. The ultimate objective of the research thrust is to better enable success in the various system-of-systems that exist in society. Keywords: system-of-systems, complexity, human behaviors, connectivity. 1 Introduction A system-of-systems (SoS) consist of multiple, heterogeneous, distributed, occasion- ally independently operating systems embedded in networks at multiple levels that evolve over time. While the moniker may be recent, the notion of a “system-of- systems” is not new. There have been and still are numerous examples of collections of systems that rely upon the interaction of multiple, but independently operating, sys- tems. Ground and air transportation, energy, and defense are high profile examples. These existed before the phrase “system-of-systems” entered common use, have been studied extensively through several fields of inquiry, but rarely have been examined as a distinct problem class. In recent years, the formal study of systems-of-systems has increased in importance, driven largely by the defense and aerospace industries, where the government’s procurement approach has changed. -
Comprehensive Measurement Framework for Enterprise Architectures
International Journal of Computer Science & Information Technology (IJCSIT) Vol 3, No 4, August 2011 COMPREHENSIVE MEASUREMENT FRAMEWORK FOR ENTERPRISE ARCHITECTURES Mahesh R. Dube 1 and Shantanu K. Dixit 2 1Department of Computer Engineering, VIT, Pune, India [email protected] 2Department of Electronics and Telecommunications, WIT, Solapur, India [email protected] ABSTRACT Enterprise Architecture defines the overall form and function of systems across an enterprise involving the stakeholders and providing a framework, standards and guidelines for project-specific architectures. Project-specific Architecture defines the form and function of the systems in a project or program, within the context of the enterprise as a whole with broad scope and business alignments. Application-specific Architecture defines the form and function of the applications that will be developed to realize functionality of the system with narrow scope and technical alignments. Because of the magnitude and complexity of any enterprise integration project, a major engineering and operations planning effort must be accomplished prior to any actual integration work. As the needs and the requirements vary depending on their volume, the entire enterprise problem can be broken into chunks of manageable pieces. These pieces can be implemented and tested individually with high integration effort. Therefore it becomes essential to analyze the economic and technical feasibility of realizable enterprise solution. It is difficult to migrate from one technological and business aspect to other as the enterprise evolves. The existing process models in system engineering emphasize on life-cycle management and low-level activity coordination with milestone verification. Many organizations are developing enterprise architecture to provide a clear vision of how systems will support and enable their business. -
Toward an Evolutionary System of Systems Architecture Scott A
Toward an Evolutionary System of Systems Architecture Scott A. Selberg Mark A. Austin Agilent Technologies, Inc. Institute for Systems Research 1400 Fountain Grove Parkway University of Maryland Mailstop 4USE Col 26HH College Park, MD 20742 Santa Rosa, CA 95403 Copyright © 2008 by Institute for Systems Research. Published and used by INCOSE with permission. Abstract. While recent advances in computing/communications technology have enabled the development and managed evolution of large scale system of systems (SoS) applications, lessons learned from industry indicate that these projects are not always successful. A key problem is the lack of a formal framework from which the development and management of SoS architectures can be studied. This paper describes the key ingredients and approaches to formal analysis that we believe will end up in this architectural infrastructure. Introduction The world is full of systems that are being upgraded from industrial- to information-age capability. System upgrades are commonly driven by the need for enhancements, either by expanding functionality or improving performance. Often, present-day systems are limited by their ability to: (1) sense the surrounding environment in which they are operating, (2) look ahead and anticipate events, and (3) control system behavior. In an effort to relax, or even remove, these constraints, next-generation systems are incorporating advances in computing, sensing, and communications. Sensors gather data which is fed to computers for advanced processing. The enriched information leads to better decision making which in turn is fed back to automated control systems. Through this process, the aforementioned barriers are overcome, thereby providing the desired results. The first important consequence of this trend is that over time, present-day reliance on centralized management of operations will be replaced by operations that are partially or fully decentralized.