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Preface to Part II Systems Architecting
Procedia Computer Science
Available online at www.sciencedirect.com
Procedia Computer Science 00 (2012) 000–000
Procedia Computer Science 8 (2012) 133 – 134
www.elsevier.com/locate/procedia
New Challenges in Systems Engineering and Architecting Conference on Systems Engineering Research (CSER) 2012 – St. Louis, MO Cihan H. Dagli, Editor in Chief Organized by Missouri University of Science and Technology
Preface to Part II Systems Architecting Conference Co-Chair: John M. Colombi Air Force Institute of Technology, Wright-Patterson AFB OH 45440 USA
Architecture is defined as the structure of a system’s components, their relationships, and the principles and guidelines governing the design and evolution over time. Architecting continues to be a critical systems engineering activity, especially with growing component, system and system-of-systems complexity. Like the pleasing aesthetics of civil architectures, systems engineers combine both art and science to create “elegant” system designs, balancing competing design considerations. Whether architecting for aerospace, enterprise applications, automotive, medical, communications, defense or consumer IT, the challenge remains to both create and assess competing designs. Architecture is a rich area for research as seen by the papers within this track. The research can be grouped into papers focusing on architectural design considerations and those examining architectural assessment. Such design considerations include the following. • Resiliency. This consideration is the ability to avoid, survive and recover from disruption. Using information flow paths through the design allows for assessing documented resiliency attributes of capacity, tolerance and flexibility. • Adaptability. Many domains, such as Command and Control, require the system design to change itself to changing environments. The use of a few heuristic principles proves a useful technique to incorporate adaptability into a design. • Diversity. While often a beneficial characteristic of systems-of-systems as well as many biological systems, diversity of architecture design parameters can be used to assess varying solutions to achieve stakeholder value. A proposed method integrates design variable diversity into a multi-objective optimization formulation. In addition, architecting must also assess the design against competing considerations and stakeholder value. The following are proposed assessments techniques. • Technology readiness levels. A structured approach is required to assess technology readiness levels (TRL) of components to the overall (rolled-up) technical maturity of the system. The use of architecture frameworks may remove the subjectively found in TRL measurement. • Enterprise project selection. An Enterprise is a meta-system of people/organizations, process and projects. Collections of projects (and their respective systems) need to be assessed for delivered 1877-0509 © 2012 Published by Elsevier B.V. doi:10.1016/j.procs.2012.01.028
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John M. Colombi / Procedia Computer Science 8 (2012) 133 – 134
value under uncertainty. An approach is presented using Monte Carlo analysis with real options to select the best set of projects. Fuzzy assessment of system-wide attributes. System design must allocate requirements to the physical architecture, and then assess the rolled-up system quality attributes, such as reliability, robustness, affordability, flexibility, adaptability and survivability. A proposed method uses genetic algorithms with fuzzy set theory to find good physical architectures. Dependability assessment. Within communications network design and configuration, the ability to provision network resources on demand, while servicing many competing requests for services, is challenging and complex. A proposed Dependability Assessment Process (DAP) shows how to assess the design consistently handles these requests. Executable architectures. Combining design-of-experiments and Monte Carlo analysis can be used to effectively assess the logical, behavioural and performance of an architecture. A structured process demonstrates how to design then execute the simulated architecture.
Available online at www.sciencedirect.com
Procedia Computer Science 00 (2012) 000–000
Procedia Computer Science 8 (2012) 133 – 134
www.elsevier.com/locate/procedia
New Challenges in Systems Engineering and Architecting Conference on Systems Engineering Research (CSER) 2012 – St. Louis, MO Cihan H. Dagli, Editor in Chief Organized by Missouri University of Science and Technology
Preface to Part II Systems Architecting Conference Co-Chair: John M. Colombi Air Force Institute of Technology, Wright-Patterson AFB OH 45440 USA
Architecture is defined as the structure of a system’s components, their relationships, and the principles and guidelines governing the design and evolution over time. Architecting continues to be a critical systems engineering activity, especially with growing component, system and system-of-systems complexity. Like the pleasing aesthetics of civil architectures, systems engineers combine both art and science to create “elegant” system designs, balancing competing design considerations. Whether architecting for aerospace, enterprise applications, automotive, medical, communications, defense or consumer IT, the challenge remains to both create and assess competing designs. Architecture is a rich area for research as seen by the papers within this track. The research can be grouped into papers focusing on architectural design considerations and those examining architectural assessment. Such design considerations include the following. • Resiliency. This consideration is the ability to avoid, survive and recover from disruption. Using information flow paths through the design allows for assessing documented resiliency attributes of capacity, tolerance and flexibility. • Adaptability. Many domains, such as Command and Control, require the system design to change itself to changing environments. The use of a few heuristic principles proves a useful technique to incorporate adaptability into a design. • Diversity. While often a beneficial characteristic of systems-of-systems as well as many biological systems, diversity of architecture design parameters can be used to assess varying solutions to achieve stakeholder value. A proposed method integrates design variable diversity into a multi-objective optimization formulation. In addition, architecting must also assess the design against competing considerations and stakeholder value. The following are proposed assessments techniques. • Technology readiness levels. A structured approach is required to assess technology readiness levels (TRL) of components to the overall (rolled-up) technical maturity of the system. The use of architecture frameworks may remove the subjectively found in TRL measurement. • Enterprise project selection. An Enterprise is a meta-system of people/organizations, process and projects. Collections of projects (and their respective systems) need to be assessed for delivered 1877-0509 © 2012 Published by Elsevier B.V. doi:10.1016/j.procs.2012.01.028
134
•
•
•
John M. Colombi / Procedia Computer Science 8 (2012) 133 – 134
value under uncertainty. An approach is presented using Monte Carlo analysis with real options to select the best set of projects. Fuzzy assessment of system-wide attributes. System design must allocate requirements to the physical architecture, and then assess the rolled-up system quality attributes, such as reliability, robustness, affordability, flexibility, adaptability and survivability. A proposed method uses genetic algorithms with fuzzy set theory to find good physical architectures. Dependability assessment. Within communications network design and configuration, the ability to provision network resources on demand, while servicing many competing requests for services, is challenging and complex. A proposed Dependability Assessment Process (DAP) shows how to assess the design consistently handles these requests. Executable architectures. Combining design-of-experiments and Monte Carlo analysis can be used to effectively assess the logical, behavioural and performance of an architecture. A structured process demonstrates how to design then execute the simulated architecture.