Measuring net-centricity

Fry, Donald N.; DeLaurentis, Daniel A.

doi:10.1109/sysose.2011.5966608

Cited by 11 publications

(4 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Mordecai and Dori expand beyond this definition slightly as they discuss information exchanges and payloads but they focus on model‐based architecture for information flows . Fry and DeLaurentis discuss interoperability in terms of openness and accessibility to information flows and methods for modeling these interactions . Other work in this area takes a slightly different approach to understand the interoperability of components within systems, but remains focused on information flows .…”

Section: Literature Reviewmentioning

confidence: 99%

Understanding the importance of expanding the definition of interoperability through social network analysis

Enos

Nilchiani

2019

Systems Engineering

View full text Add to dashboard Cite

Over the past decade, the Department of Defense (DoD) developed an emergent network of systems that operate together on the battlefield to provide value to the DoD. Advances in systems engineering have enabled the DoD to develop better, more integrated, and more complex systems in this time frame. One of the emerging topics in systems engineering is the importance of nonfunctional attributes captured in the ilities of a system. One of these ilities, interoperability, captures the ability of a system to operate with other systems as DoD systems do on the battlefield. This article applies social network analysis tools and methods to understand the effect of expanding the definition of interoperability beyond information flows to include shared resources and physical connections. Social network analysis metrics, such as density and average degree, quantify the effect of expanding interoperability to capture other aspects of interoperability. By capturing these additional aspects of interoperability, the number of connections in the DoD network of systems increases by nearly a factor of four. Thus, if the ility of interoperability narrowly focuses on information flows, then systems engineers could potentially miss a large number of important connections in a network of systems.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Understanding the importance of expanding the definition of interoperability through social network analysis

Enos

Nilchiani

2019

Systems Engineering

View full text Add to dashboard Cite

show abstract

“…Kinnunen reviews at least four definitions of complexity [31] before offering his analysis of one related to the object process methodology of Dori, and Mordecai and Dori extend that to SoS specifically for interoperability [32]. Fry and DeLaurentis also discussed measuring Net-Centricity (interoperability within the SoS), noting the difficulty of pushing the commonly used heuristics too far, because the Pareto front exists in multiple dimensions [33], not just two at a time. Ricci et al discuss designing for evolvability of their SoS in a wave model and playing it out several cycles in the future, evaluating cost and performance.…”

Section: Sos Acquisition Managermentioning

confidence: 99%

An Advanced Computational Approach to System of Systems Analysis & Architecting Using Agent-Based Behavioral Model: Phase 2

Dağli¹

2013

View full text Add to dashboard Cite

Public reporting burden for the 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 this burden, to Washington Headquarters Services, Directorate for Information Operations and Reports, 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 a penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. REPORT DATE NOV 20132. REPORT TYPE SUPPLEMENTARY NOTES ABSTRACTThe goal of this research is to model the evolution of the architecture of an acknowledged Systems of Systems (SoS) that accounts for the ability and willingness of constituent systems to support the SoS capability development. Since DoD SoS development efforts do not typically follow the program of record acquisition process described in DoDI 5000.02, the Wave Model proposed by Dahmann and Rebovich is used as the basis for this research on SoS capability evolution. The Wave Process Model provides a framework for an agent-based modeling methodology, which is used to abstract the non-utopian behavioral aspects of the constituent systems and their interactions with the SoS. In particular, the research focuses on the impact of individual system behavior on the SoS capability and architecture evolution processes. This material has been approved for public release and unlimited distribution except as restricted below.Internal use:* Permission to reproduce this material and to prepare derivative works from this material for internal use is granted, provided the copyright and "No Warranty" statements are included with all reproductions and derivative works.External use:* This material may be reproduced in its entirety, without modification, and freely distributed in written or electronic form without requesting formal permission. Permission is required for any other external and/or commercial use. Requests for permission should be directed to the Systems Engineering Research Center at dschultz@stevens.edu * These restrictions do not apply to U.S. government entities. WHS TO 029, RT 044 UNCLASSIFIED Executive SummaryA major challenge to the successful planning and evolution of an Acknowledged System of Systems (SoS) is the current lack of understanding of the impact that the presence or absence of a set of constituent systems has on the overall SoS capability. Since the candidate elements of a SoS are fully functioning, stand-alone systems in their own right; they have goals and objectives of their own to satisfy, some of which may compete with those of the overarching SoS. These system-level concerns drive decisions to participate (or not) in the So...

show abstract

“…His process implies a linear flow to address a single concept and does not explicitly account for alternatives needing to address multiple problems that may be found within a System of System (SoS) problem [11]. Fry and DeLaurentis implement a single adjacency matrix to account for the system-system interactions within the SoS [12]. We may leverage this approach in order to catalog the types of interactions that must be represented in the simulation environment.…”

Section: Effectiveness Simulationmentioning

confidence: 99%

Rapid concept development of the mission space architecture, process modeling, and capability analysis

Flanigan

Schneider

2013

2013 IEEE International Systems Conference (SysCon)

View full text Add to dashboard Cite

Early system engineering is not focused on the natural triangle of relationships between architecture, alternatives and performance. As a result, early understanding of conceptual trade space is focused on a sequential and independent effort when developing the system concept. This method is rife with inefficiency, broad and incorrect assumptions of the preceding step, ultimately leading to large amounts of rework and a non-unifying effort throughout the project team. This paper provides a means to show through an illustrative example that these three elements are interconnected and building them simultaneously improves the efficiency of concept development. The results of the paper highlight the parallel relationships between the elements that are usually developed in a serial process. This method provides the means to continuously build related architecture, alternatives, and performance elements together.Index Terms-systems architecture; model based systems engineering; systems analysis

show abstract

Measuring net-centricity

Cited by 11 publications

References 7 publications

Understanding the importance of expanding the definition of interoperability through social network analysis

Understanding the importance of expanding the definition of interoperability through social network analysis

An Advanced Computational Approach to System of Systems Analysis & Architecting Using Agent-Based Behavioral Model: Phase 2

Rapid concept development of the mission space architecture, process modeling, and capability analysis

Contact Info

Product

Resources

About