Flexible and intelligent learning architectures for SoS (FILA-SoS): Architectural evolution in systems-of-systems

Siddhartha Agarwal; Louis E. Pape; Cihan H. Dagli; Nil K. Ergin; David Enke; Abhijit Gosavi; Ruwen Qin; Dincer Konur; Renzhong Wang; Ram Deepak Gottapu

doi:10.1016/j.procs.2015.03.005

Flexible and intelligent learning architectures for SoS (FILA-SoS): Architectural evolution in systems-of-systems

Siddhartha Agarwal
, Louis E. Pape
, Cihan H. Dagli
, Nil K. Ergin
, David Enke
, Abhijit Gosavi
, Ruwen Qin
, Dincer Konur
, Renzhong Wang
, Ram Deepak Gottapu

Civil Engineering

Stony Brook University

Research output: Contribution to journal › Conference article › peer-review

38 Scopus citations

Abstract

The dynamic planning for a system-of-systems is a challenging endeavor. Department of Defense (DoD) programs constantly face challenges to incorporate new systems and upgrade existing systems over a period of time under threats, constrained budget, and uncertainty. It is therefore necessary for the DoD to be able to look at the future scenarios and critically assess the impact of technology and stakeholder changes. The DoD currently is looking for options that signify affordable acquisition selections and lessen the cycle time for early acquisition and new technology addition. This paper gives an overview of a novel methodology known as the Flexible Intelligent & Learning Architectures in System-of-Systems (FILA-SoS). This approach allows for analyzing sequential decisions in evolving SoS architectures. An ISR SoS example illustrates an application of the method.

Original language	English
Pages (from-to)	76-85
Number of pages	10
Journal	Procedia Computer Science
Volume	44
Issue number	C
DOIs	https://doi.org/10.1016/j.procs.2015.03.005
State	Published - 2015
Event	18th Conference on Plasma-Surface Interactions, PSI 2015, 5-6 February 2015, Moscow, Russian Federation and the 1st Conference on Plasma and Laser Research and Technologies, PLRT 2015, 18-20 February 2015, Moscow, Russian Federation - Sankt Augustin, Germany Duration: Jun 7 2013 → …

Keywords

Acquisition
Architecture
Department of Defense
Flexible
Stakeholder
System-of-systems
Uncertainty

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10.1016/j.procs.2015.03.005

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title = "Flexible and intelligent learning architectures for SoS (FILA-SoS): Architectural evolution in systems-of-systems",

abstract = "The dynamic planning for a system-of-systems is a challenging endeavor. Department of Defense (DoD) programs constantly face challenges to incorporate new systems and upgrade existing systems over a period of time under threats, constrained budget, and uncertainty. It is therefore necessary for the DoD to be able to look at the future scenarios and critically assess the impact of technology and stakeholder changes. The DoD currently is looking for options that signify affordable acquisition selections and lessen the cycle time for early acquisition and new technology addition. This paper gives an overview of a novel methodology known as the Flexible Intelligent \& Learning Architectures in System-of-Systems (FILA-SoS). This approach allows for analyzing sequential decisions in evolving SoS architectures. An ISR SoS example illustrates an application of the method.",

keywords = "Acquisition, Architecture, Department of Defense, Flexible, Stakeholder, System-of-systems, Uncertainty",

author = "Siddhartha Agarwal and Pape, \{Louis E.\} and Dagli, \{Cihan H.\} and Ergin, \{Nil K.\} and David Enke and Abhijit Gosavi and Ruwen Qin and Dincer Konur and Renzhong Wang and Gottapu, \{Ram Deepak\}",

note = "Publisher Copyright: {\textcopyright} 2015 Published by Elsevier B.V.; 18th Conference on Plasma-Surface Interactions, PSI 2015, 5-6 February 2015, Moscow, Russian Federation and the 1st Conference on Plasma and Laser Research and Technologies, PLRT 2015, 18-20 February 2015, Moscow, Russian Federation ; Conference date: 07-06-2013",

year = "2015",

doi = "10.1016/j.procs.2015.03.005",

language = "English",

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TY - JOUR

T1 - Flexible and intelligent learning architectures for SoS (FILA-SoS)

T2 - 18th Conference on Plasma-Surface Interactions, PSI 2015, 5-6 February 2015, Moscow, Russian Federation and the 1st Conference on Plasma and Laser Research and Technologies, PLRT 2015, 18-20 February 2015, Moscow, Russian Federation

AU - Agarwal, Siddhartha

AU - Pape, Louis E.

AU - Dagli, Cihan H.

AU - Ergin, Nil K.

AU - Enke, David

AU - Gosavi, Abhijit

AU - Qin, Ruwen

AU - Konur, Dincer

AU - Wang, Renzhong

AU - Gottapu, Ram Deepak

PY - 2015

Y1 - 2015

N2 - The dynamic planning for a system-of-systems is a challenging endeavor. Department of Defense (DoD) programs constantly face challenges to incorporate new systems and upgrade existing systems over a period of time under threats, constrained budget, and uncertainty. It is therefore necessary for the DoD to be able to look at the future scenarios and critically assess the impact of technology and stakeholder changes. The DoD currently is looking for options that signify affordable acquisition selections and lessen the cycle time for early acquisition and new technology addition. This paper gives an overview of a novel methodology known as the Flexible Intelligent & Learning Architectures in System-of-Systems (FILA-SoS). This approach allows for analyzing sequential decisions in evolving SoS architectures. An ISR SoS example illustrates an application of the method.

AB - The dynamic planning for a system-of-systems is a challenging endeavor. Department of Defense (DoD) programs constantly face challenges to incorporate new systems and upgrade existing systems over a period of time under threats, constrained budget, and uncertainty. It is therefore necessary for the DoD to be able to look at the future scenarios and critically assess the impact of technology and stakeholder changes. The DoD currently is looking for options that signify affordable acquisition selections and lessen the cycle time for early acquisition and new technology addition. This paper gives an overview of a novel methodology known as the Flexible Intelligent & Learning Architectures in System-of-Systems (FILA-SoS). This approach allows for analyzing sequential decisions in evolving SoS architectures. An ISR SoS example illustrates an application of the method.

KW - Acquisition

KW - Architecture

KW - Department of Defense

KW - Flexible

KW - Stakeholder

KW - System-of-systems

KW - Uncertainty

UR - https://www.scopus.com/pages/publications/84938566298

U2 - 10.1016/j.procs.2015.03.005

DO - 10.1016/j.procs.2015.03.005

M3 - Conference article

SN - 1877-0509

VL - 44

SP - 76

EP - 85

JO - Procedia Computer Science

JF - Procedia Computer Science

IS - C

Y2 - 7 June 2013

ER -

Flexible and intelligent learning architectures for SoS (FILA-SoS): Architectural evolution in systems-of-systems

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Keywords

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