TY - GEN
T1 - Resilience in Space - An Applied Systems Thinking Approach
AU - Scott, James
AU - Mansouri, Mo
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - In the context of distributed computing systems, resilience refers to the ability of the system to support the services and functions essential to mission success with (i) high probability, and (ii) shorter durations of reduced capability across a wide range of operational scenarios, failure conditions, and attack vectors [1]. Traditional systems engineering analysis views a system as a collection of functionally decomposed, independent parts, allowing analysts to reason about the system but providing limited understanding of emergent system behaviors. Conversely, systems thinking views the system as a whole, allowing the analyst to reason from the system, enabling a better understanding of functional interdependencies and emergent system behaviors. This paper introduces a hybrid methodology, referred to as Applied Systems Thinking, that embraces both the analytical methods of traditional systems engineering complemented by the established systems thinking toolkit, allowing the system engineer to both reason about the system and from the system at the same time. The objectives of this paper are to (a) address the concept of system resilience using techniques from the Applied Systems Thinking toolkit, (b) to discuss system resilience as it applies to system of systems, using Non-Terrestrial Networks (NTN) as a reference framework, and (c) to provide an initial foray into more in-depth research that intends to develop a principled framework for Service Availability that incorporates its constituent components, such as system availability, reliability, resilience, survivability, and verification of the contractual parameters found in an associated Service Level Agreement, or SLA.
AB - In the context of distributed computing systems, resilience refers to the ability of the system to support the services and functions essential to mission success with (i) high probability, and (ii) shorter durations of reduced capability across a wide range of operational scenarios, failure conditions, and attack vectors [1]. Traditional systems engineering analysis views a system as a collection of functionally decomposed, independent parts, allowing analysts to reason about the system but providing limited understanding of emergent system behaviors. Conversely, systems thinking views the system as a whole, allowing the analyst to reason from the system, enabling a better understanding of functional interdependencies and emergent system behaviors. This paper introduces a hybrid methodology, referred to as Applied Systems Thinking, that embraces both the analytical methods of traditional systems engineering complemented by the established systems thinking toolkit, allowing the system engineer to both reason about the system and from the system at the same time. The objectives of this paper are to (a) address the concept of system resilience using techniques from the Applied Systems Thinking toolkit, (b) to discuss system resilience as it applies to system of systems, using Non-Terrestrial Networks (NTN) as a reference framework, and (c) to provide an initial foray into more in-depth research that intends to develop a principled framework for Service Availability that incorporates its constituent components, such as system availability, reliability, resilience, survivability, and verification of the contractual parameters found in an associated Service Level Agreement, or SLA.
KW - Applied Systems Thinking
KW - Non-Terrestrial Networks (NTN)
KW - Resilience
KW - SLA Verification
KW - System Availability
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U2 - 10.1109/SoSE59841.2023.10178547
DO - 10.1109/SoSE59841.2023.10178547
M3 - Conference contribution
AN - SCOPUS:85166733321
T3 - 2023 18th Annual System of Systems Engineering Conference, SoSe 2023
BT - 2023 18th Annual System of Systems Engineering Conference, SoSe 2023
T2 - 18th Annual System of Systems Engineering Conference, SoSe 2023
Y2 - 14 June 2023 through 16 June 2023
ER -