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Title: Quantitative adaptation analytics for assessing dynamic systems of systems: LDRD Final Report

Abstract

Our society is increasingly reliant on systems and interoperating collections of systems, known as systems of systems (SoS). These SoS are often subject to changing missions (e.g., nation- building, arms-control treaties), threats (e.g., asymmetric warfare, terrorism), natural environments (e.g., climate, weather, natural disasters) and budgets. How well can SoS adapt to these types of dynamic conditions? This report details the results of a three year Laboratory Directed Research and Development (LDRD) project aimed at developing metrics and methodologies for quantifying the adaptability of systems and SoS. Work products include: derivation of a set of adaptability metrics, a method for combining the metrics into a system of systems adaptability index (SoSAI) used to compare adaptability of SoS designs, development of a prototype dynamic SoS (proto-dSoS) simulation environment which provides the ability to investigate the validity of the adaptability metric set, and two test cases that evaluate the usefulness of a subset of the adaptability metrics and SoSAI for distinguishing good from poor adaptability in a SoS. Intellectual property results include three patents pending: A Method For Quantifying Relative System Adaptability, Method for Evaluating System Performance, and A Method for Determining Systems Re-Tasking.

Authors:
 [1];  [2];  [3];  [1];  [4];  [5];  [6];  [7]
  1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States). System Readiness & Sustainment Technologies (6133, M/S 1188)
  2. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States). Military & Energy Systems Analysis (6114, M/S 1188)
  3. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States). Resilience and Regulatory Effects (6921, M/S 1138)
  4. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States). Networked System Survivability & Assurance (5629, M/S 0671)
  5. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States). Software Systems R&D (9525, M/S 1188)
  6. Sandia National Laboratories, Unknown, Unknown
  7. SAIC, Inc., Albuquerque, NM (United States)
Publication Date:
Research Org.:
Sandia National Laboratories Unknown, Unknown; Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1167412
Report Number(s):
SAND-2015-20842
558266
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
99 GENERAL AND MISCELLANEOUS

Citation Formats

Gauthier, John H., Miner, Nadine E., Wilson, Michael L., Le, Hai D., Kao, Gio K., Melander, Darryl J., Longsine, Dennis Earl, and Vander Meer, Jr., Robert C. Quantitative adaptation analytics for assessing dynamic systems of systems: LDRD Final Report. United States: N. p., 2015. Web. doi:10.2172/1167412.
Gauthier, John H., Miner, Nadine E., Wilson, Michael L., Le, Hai D., Kao, Gio K., Melander, Darryl J., Longsine, Dennis Earl, & Vander Meer, Jr., Robert C. Quantitative adaptation analytics for assessing dynamic systems of systems: LDRD Final Report. United States. doi:10.2172/1167412.
Gauthier, John H., Miner, Nadine E., Wilson, Michael L., Le, Hai D., Kao, Gio K., Melander, Darryl J., Longsine, Dennis Earl, and Vander Meer, Jr., Robert C. Thu . "Quantitative adaptation analytics for assessing dynamic systems of systems: LDRD Final Report". United States. doi:10.2172/1167412. https://www.osti.gov/servlets/purl/1167412.
@article{osti_1167412,
title = {Quantitative adaptation analytics for assessing dynamic systems of systems: LDRD Final Report},
author = {Gauthier, John H. and Miner, Nadine E. and Wilson, Michael L. and Le, Hai D. and Kao, Gio K. and Melander, Darryl J. and Longsine, Dennis Earl and Vander Meer, Jr., Robert C.},
abstractNote = {Our society is increasingly reliant on systems and interoperating collections of systems, known as systems of systems (SoS). These SoS are often subject to changing missions (e.g., nation- building, arms-control treaties), threats (e.g., asymmetric warfare, terrorism), natural environments (e.g., climate, weather, natural disasters) and budgets. How well can SoS adapt to these types of dynamic conditions? This report details the results of a three year Laboratory Directed Research and Development (LDRD) project aimed at developing metrics and methodologies for quantifying the adaptability of systems and SoS. Work products include: derivation of a set of adaptability metrics, a method for combining the metrics into a system of systems adaptability index (SoSAI) used to compare adaptability of SoS designs, development of a prototype dynamic SoS (proto-dSoS) simulation environment which provides the ability to investigate the validity of the adaptability metric set, and two test cases that evaluate the usefulness of a subset of the adaptability metrics and SoSAI for distinguishing good from poor adaptability in a SoS. Intellectual property results include three patents pending: A Method For Quantifying Relative System Adaptability, Method for Evaluating System Performance, and A Method for Determining Systems Re-Tasking.},
doi = {10.2172/1167412},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Jan 01 00:00:00 EST 2015},
month = {Thu Jan 01 00:00:00 EST 2015}
}

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