Flexible and Intelligent Learning Architectures for SoS (FILA-SoS): Architectural Evolution in Systems-of-Systems | Zendy

Siddhartha Agarwal | Zendy; Louis Pape | Zendy; Ci̇han H. Dağli | Zendy; Nil Ergin | Zendy; David Enke | Zendy; Abhijit Gosavi | Zendy; Ruwen Qin | Zendy; Dinçer Konur | Zendy; Renzhong Wang | Zendy; Ram Deepak Gottapu | Zendy

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Flexible and Intelligent Learning Architectures for SoS (FILA-SoS): Architectural Evolution in Systems-of-Systems

Author(s) -

Siddhartha Agarwal,

Louis Pape,

Ci̇han H. Dağli,

Nil Ergin,

David Enke,

Abhijit Gosavi,

Ruwen Qin,

Dinçer Konur,

Renzhong Wang,

Ram Deepak Gottapu

Publication year - 2015

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2015.03.005

Subject(s) - computer science , system of systems , upgrade , systems engineering , architecture , risk analysis (engineering) , computer security , software engineering , systems design , operating system , art , visual arts , medicine , engineering

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

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