• Home
  • Resources
    • Find Resources by Topic Tags
    • Cybersecurity Policy Chart
    • CSIAC Reports
    • Webinars
    • Podcasts
    • Cybersecurity Digest
    • Standards & Reference Docs
    • Journals
    • Certifications
    • Acronym DB
    • Cybersecurity Related Websites
  • Services
    • Free Technical Inquiry
    • Core Analysis Task (CAT) Program
    • Subject Matter Expert (SME) Network
    • Training
    • Contact Us
  • Community
    • Upcoming Events
    • Cybersecurity
    • Modeling & Simulation
    • Knowledge Management
    • Software Engineering
  • About
    • About the CSIAC
    • The CSIAC Team
    • Subject Matter Expert (SME) Support
    • DTIC’s IAC Program
    • DTIC’s R&E Gateway
    • DTIC STI Program
    • FAQs
  • Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar
  • Skip to footer
Login / Register

CSIAC

Cyber Security and Information Systems Information Analysis Center

  • Resources
    • Find Resources by Topic Tags
    • Cybersecurity Policy Chart
    • CSIAC Reports
    • Webinars
    • Podcasts
    • Cybersecurity Digest
    • Standards & Reference Docs
    • Journals
    • Certifications
    • Acronym DB
    • Cybersecurity Websites
  • Services
    • Free Technical Inquiry
    • Core Analysis Task (CAT) Program
    • Subject Matter Expert (SME) Network
    • Training
    • Contact
  • Community
    • Upcoming Events
    • Cybersecurity
    • Modeling & Simulation
    • Knowledge Management
    • Software Engineering
  • About
    • About the CSIAC
    • The CSIAC Team
    • Subject Matter Expert (SME) Support
    • DTIC’s IAC Program
    • DTIC’s R&E Gateway
    • DTIC STI Program
    • FAQs
  • Cybersecurity
  • Modeling & Simulation
  • Knowledge Management
  • Software Engineering
/ Journal Issues / Applying Modeling & Simulation for Defense / How Does an Analyst Select M&S to Support the Entire DoD Acquisition Lifecycle Process?

How Does an Analyst Select M&S to Support the Entire DoD Acquisition Lifecycle Process?

Published in Journal of Cyber Security and Information Systems
Volume: 3 Number: 1 - Applying Modeling & Simulation for Defense

Authors: Lana E. McGlynn, Christopher McGroarty, Christopher J. Metevier, Scott Gallant and Joseph S. McDonnell, Ph.D
Posted: 02/09/2016 | Leave a Comment

Modeling and Simulation (M&S) users who require complex M&S typically do not have a long lifecycle for an experiment, analysis initiative or simulation-based event. To reduce cost, they need to use well-established simulation architectures and robust models that are easy to integrate with other simulations. This desire for a short lead time for system design, development, integration, execution and data analysis forces the system definition and design to happen very quickly.

In addition to having limited time and financial resources, analysts are being forced to address ever increasingly multifaceted problems. These problems require resources far beyond the simple spreadsheets of the past. With the advent of multicore desktop computers, cloud architectures and data mining tools, analysts have the opportunity to leverage vast amounts of data in order to conduct their analyses. But manipulating output data is not the same as analyzing data. Truly analyzing data requires understanding the linkages among the input data, the design assumptions and the intricacies of the systems producing the data.

The United States (US) Army Research Laboratory (ARL) has developed tools and processes that will help M&S users with their goals of understanding the simulation capabilities that are available and executing complex M&S environments as needed rather than when technical staff is available. A description of the users’ needs will provide the context of our efforts.

Needs of the User

The majority of analysts will agree that there never seems to be enough time when preparing for an experiment, test, analysis initiative or simulation-based event. A long planning cycle is a luxury they are not afforded. The analysts desire the ability to obtain key information in an effortless manner and to be able to employ tools that do not require a steep learning curve. Ultimately, the analysts want to spend more time examining the findings and less time learning to utilize the simulation tools.

There is seldom a single simulation that will accomplish the analysts’ goals on its own; rather engineers will integrate multiple systems together. Each system represents specific aspects of the synthetic environment being used. These M&S users rely on standards and simulation developers to get the systems to communicate using the same syntax. This often works to instantiate a System of Systems (SoS) architecture [1] and to get models to share information. A SoS environment is an assembly of applications that together provide more capability than the sum of their individual capabilities. Within the M&S community, the applications assembled are each focused on representing a specific warfare function (or functions) based on data and models from an organization considered to be the center of excellence for that aspect of warfare. The SoS architecture provides many benefits when compared to executing a single monolithic model, including performance, model management and information transparency for analysis.

The United States Department of Defense (DoD) acquisition community is focused on creating viable materiel solutions. Figure 1 shows the DoD Acquisition Life Cycle [2] . While a formal Materiel Solutions Analysis occurs prior to Milestone A, a Project Manager (PM) can be faced with the challenge that the materiel solution they are developing is not meeting its required specification(s). However, this materiel may arguably be better than what is fielded for the same purpose. The challenge becomes how to make that case to senior acquisition decision makers who determine if a system is acquired or not.

art4fig1
Figure 1 – DoD Acquisition Life Cycle. 

Pages: Page 1 Page 2 Page 3 Page 4 Page 5

Previous Article:
« Sensor Life Cycle Acquisition and Training with...
Next Article:
Toward Realistic Modeling Criteria of Games in... »

References

[1] : M. Jamshidi. 2008. System of Systems Engineering. 1st ed. Wiley.

[2] : Defense Acquisition University (DAU) ACQuipedia, 22 January 2008, “Acquisition Life Cycle” available via https://dap.dau.mil/ acquipedia/Pages/ArticleDetails.aspx?aid=30c99fbf-d95f-4452- 966c-500176b42688

[3] : Roedler, Garry and Jones, Cheryl. Technical Measurement. A Collaborative Project of PSM, INCOSE, and Industry. 2005 INCOSE-TP-2003-020-01. (https://www.incose.org/ProductsPubs/ pdf/TechMeasurementGuide_2005-1227.pdf)

[4] : Czarnecki, K, 2000, “Generative Programming: Methods, Tools, and Applications”, Addison-Wesley Professional.

[5] : Headquarters Department of the US Army, Army Regulation 5-11. Management of Army Modeling and Simulation. 2014. (http://www.apd.army.mil/pdffiles/r5_11.pdf)

[6] : Metevier, Chris et al. Modeling Architecture for Technology Research and Experimentation (MATREX): M&S Tools and Resources Enabling Critical Analyses. 2009 Modeling and Simulation Information Analysis Center (MSIAC) Journal Summer 2009. (https://www.matrex.rdecom.army.mil/front/ msiac_journal_july_2009.pdf)

[7] : Beauchat, Tracey et al. A Collaborative Tool for Capturing the Design of a Distributed Simulation Architecture for Composable Execution. 2012. Fall Simulation Interoperability Workshop – Spring Conference.

[8] : 1516-2010 IEEE Standard for Modeling and Simulation (M&S) High Level Architecture (HLA) – Framework and Rules. 2010. https://www.sto.nato.int/publications/STO%20Meeting%20Proceedings/STO-MP-MSG-126/MP-MSG-126-08.pdf. jsp?arnumber=5553440)

[9] : Rothrock, Ling and Narayanan, S. Human-in-the-Loop Simulations: Methods and Practice. 2011. Springer.

[10] : Keith Snively, Phil Grimm “ProtoCore: A Transport Independent Solution for Simulation Interoperability.” SISO Fall SIW 2006.

[11] : 1278.1-2012 IEEE Standard for Distributed Interactive Simulation – Application Protocols. 2012. (http://ieeexplore.ieee.org/ xpl/articleDetails.jsp?arnumber=6387564)

[12] : Powell, Edward and Noseworthy, Russell. The Test and Training Enabling Architecture (TENA). 2012. . org/download/attachments/6750/TENA-2012-Paper-Final.pdf)

[13] : McCray, Paul and Snively, Keith. Functional Component Testing for Distributed Simulations. 2008. Simulation Interoperability Workshop Spring Conference, April 2008.

[14] : Kaushik, B; Nance, Don; Ahuja, J, 23-25 May 2005, “A Review of the Role of Acoustic Sensors in the Modern Battlefield”, Proceedings of the 11th AIAA/CEAS Aeroacoustics Conference (26th AIAA Aeroacoustics Conference).

Authors

Lana E. McGlynn
Lana E. McGlynn
Lana E. McGlynn, founder of McGlynn Consulting Group (MCG), has over 40 years of hands-on experience in technical and leadership positions. She offers comprehensive consulting in the fields of modeling and simulation (M&S), testing, logistics, acquisition, and studies and analyses. Ms McGlynn has lead various domestic and international working groups and task forces, to include serving as the Vice Chair of the NATO Modeling and Simulation Group. Prior to retirement from federal service, she served as the Special Assistant to the Deputy Under Secretary of the Army for Operations Research (DUSA (OR)) for Modeling and Simulation (M&S). She is a member of the Army Acquisition Corps and was certified as an Acquisition Professional, Level III, in the functional specialty of Program Management. She is a graduate of Harvard’s JFK School of Government Senior Executive Fellows Program April 2001, the Federal Executive Institute’s Leadership for a Democratic Society Program August 1996, and the resident course at U.S. Army War College June 1993.
Christopher McGroarty
Christopher McGroarty
Christopher McGroarty (formerly Gaughan) is the Chief Engineer for Advanced Simulation and Deputy Technology Program Manager of the Modeling Architecture for Technology, Research and Experimentation (MATREX) program at the United States Army esearch Laboratory, Human Research and Engineering Directorate, Simulation and Training Technology Center (ARL HRED STTC). His research interests include distributed simulation, novel computing architectures, innovative methods for user-simulation interaction, methodologies for making simulation more accessible by non-simulation experts, service oriented architectures and future simulation frameworks. He manages and leads a variety of research efforts that mature, integrate and demonstrate these technologies in a relevant Army and Department of Defense context. He received his Master of Science and Bachelor of Science in Electrical Engineering from Drexel University in Philadelphia, Pennsylvania.
Christopher J. Metevier
Christopher J. Metevier
Christopher J. Metevier is the Chief of the Advanced Simulation Branch and Technology Program Manager of the Modeling Architecture for Technology, Research, and EXperimentation (MATREX) program at the United States Army Research Laboratory, Human Research and Engineering Directorate, Simulation and Training Technology Center (ARL HRED STTC). He has over 24 years of experience with the Army and Navy in the Modeling and Simulation (M&S) field. His M&S experience extends across the acquisition lifecycle and includes the research, development, adaptation, integration, experimentation, test and fielding of numerous simulation technologies and systems. He received his Master of Business Administration from Webster University and his Bachelor of Science in Electrical Engineering from the University of Central Florida.
Scott Gallant
Scott Gallant
Scott Gallant is a Systems Architect with Effective Applications Corporation. He has 20 years experience in distributed computing including United States Army Modeling & Simulation (M&S). Scott has led technical teams on distributed M&S programs for distributed software and federation design, development and execution management in support of technical assessments, data analysis and experimentation. He currently leads the technical team for the implementation of the Executable Architecture Systems Engineering (EASE) system and actively supports research activities of the Army Research Laboratory, Human Research and Engineering Directorate, Simulation and Training Technology Center (ARL HRED STTC) Advanced Simulation Branch.
Joseph S. McDonnell, Ph.D
Joseph S. McDonnell, Ph.D
Joseph S. McDonnell, Ph.D. is a Principal Scientist and Director of Modeling and Simulation at Dynamic Animation Systems. Dr. McDonnell has over 20 years of experience providing senior level project and software development leadership, primarily in the area of advanced distributed simulation applications. He also gained experience in a staff position while supporting the RDECOM Modeling and Simulation Senior Advisory Group (SAG), overseeing the transition from a SAG to an RDECOM SOSI IPT. Dr. McDonnell is experienced in all facets of contract management and has led both small and large teams, as a subcontractor and as a prime. Dr. McDonnell is currently supporting the RDECOM ARL HRED STTC Advanced Simulation Branch (ASB) as Principal Scientist providing scientific and future planning support, as well as being the contractor research lead for the Executable Architecture Systems Engineering Distributed Modeling Framework (EASE DMF) project and the Distributed Soldier Representation (DSR) project. Prior to his current role, Dr. McDonnell was the contractor Technical Lead for the Modeling Architecture for Technology, Research and Experimentation STO. He has been the contract technical lead for programs for the Federal Emergency Management Agency’s National Fire Academy in Emmitsburg, MD and at the Night Vision and Electronic Sensors Directorate at Ft. Belvoir. Dr. McDonnell holds a Ph.D. in Mathematics from the University of Virginia.

Reader Interactions

Leave a Comment Cancel

You must be logged in to post a comment.

sidebar

Blog Sidebar

Featured Content

Data Privacy Day - Jan 28

Data Privacy Day is January 28th

You can help create a global community that respects privacy, safeguards data, and enables trust. You can help teach others about privacy at home, at work, and in your community.

Learn How

Featured Subject Matter Expert (SME): Daksha Bhasker

A dynamic CSIAC SME, Senior Principal Cybersecurity Architect, Daksha Bhasker has 20 years of experience in the telecommunications services provider industry. She has worked in systems security design and architecture in production environments of carriers, often leading multidisciplinary teams for cybersecurity integration, from conception to delivery of complex technical solutions. As a CSIAC SME, Daksha's contributions include several published CSIAC Journal articles and a webinar presentation on the sophiscated architectures that phone carriers use to stop robocalls.

View SME's Contributed Content

The DoD Cybersecurity Policy Chart

The DoD Cybersecurity Policy Chart

This chart captures the tremendous breadth of applicable policies, some of which many cybersecurity professionals may not even be aware, in a helpful organizational scheme.

View the Policy Chart

CSIAC Report - Smart Cities, Smart Bases and Secure Cloud Architecture for Resiliency by Design

Integration of Smart City Technologies to create Smart Bases for DoD will require due diligence with respect to the security of the data produced by Internet of Things (IOT) and Industrial Internet of Things (IIOT). This will increase more so with the rollout of 5G and increased automation "at the edge". Commercially, data will be moving to the cloud first, and then stored for process improvement analysis by end-users. As such, implementation of Secure Cloud Architectures is a must. This report provides some use cases and a description of a risk based approach to cloud data security. Clear understanding, adaptation, and implementation of a secure cloud framework will provide the military the means to make progress in becoming a smart military.

Read the Report

CSIAC Journal - Data-Centric Environment: Rise of Internet-Based Modern Warfare “iWar”

CSIAC Journal Cover Volume 7 Number 4

This journal addresses a collection of modern security concerns that range from social media attacks and internet-connected devices to a hypothetical defense strategy for private sector entities.

Read the Journal

CSIAC Journal M&S Special Edition - M&S Applied Across Broad Spectrum Defense and Federal Endeavors

CSIAC Journal Cover Volume 7 Number 3

This Special Edition of the CSIAC Journal highlights a broad array of modeling and simulation contributions – whether in training, testing, experimentation, research, engineering, or other endeavors.

Read the Journal

CSIAC Journal - Resilient Industrial Control Systems (ICS) & Cyber Physical Systems (CPS)

CSIAC Journal Cover Volume 7 Number 2

This edition of the CSIAC Journal focuses on the topic of cybersecurity of Cyber-Physical Systems (CPS), particularly those that make up Critical Infrastructure (CI).

Read the Journal

Recent Video Podcasts

  • Privacy Impact Assessment: The Foundation for Managing Privacy Risk Series: The CSIAC Podcast
  • Agile Condor: Supercomputing at the Edge for Intelligent Analytics Series: CSIAC Webinars
  • Securing the Supply Chain: A Hybrid Approach to Effective SCRM Policies and Procedures Series: The CSIAC Podcast
  • DoD Vulnerability Disclosure Program (VDP) Series: CSIAC Webinars
  • 5 Best Practices for a Secure Infrastructure Series: The CSIAC Podcast
View all Podcasts

Upcoming Events

Tue 19

SANS Stay Sharp: Blue Team Operations 2021

January 18 - January 20
Organizer: SANS Institute
Tue 19

SANS Cyber Security Central: Jan 2021

January 18 - January 23
Organizer: SANS Institute
Tue 19

AI Champions, Online – Supply Chain

January 19 @ 14:00 - January 21 @ 15:30 EST
Thu 21

SANS Cyber Threat Intelligence Summit 2021

January 21 - January 22
Organizer: SANS Institute
Fri 22

SANS Cyber Threat Intelligence Solutions Track 2021

January 22 @ 09:00 - 17:00 EST
Organizer: SANS Institute
View all Events

Footer

CSIAC Products & Services

  • Free Technical Inquiry
  • Core Analysis Tasks (CATs)
  • Resources
  • Events Calendar
  • Frequently Asked Questions
  • Product Feedback Form

About CSIAC

The CSIAC is a DoD-sponsored Center of Excellence in the fields of Cybersecurity, Software Engineering, Modeling & Simulation, and Knowledge Management & Information Sharing.Learn More

Contact Us

Phone:800-214-7921
Email:info@csiac.org
Address:   266 Genesee St.
Utica, NY 13502
Send us a Message
US Department of Defense Logo USD(R&E) Logo DTIC Logo DoD IACs Logo

Copyright 2012-2021, Quanterion Solutions Incorporated

Sitemap | Privacy Policy | Terms of Use | Accessibility Information
Accessibility / Section 508 | FOIA | Link Disclaimer | No Fear Act | Policy Memoranda | Privacy, Security & Copyright | Recovery Act | USA.Gov

This website uses cookies to provide our services and to improve your experience. By using this site, you consent to the use of our cookies. To read more about the use of our site, please click "Read More". Otherwise, click "Dismiss" to hide this notice. Dismiss Read More
Privacy & Cookies Policy

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.
Necessary
Always Enabled

Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.

Non-necessary

Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.