TY  - GEN
N2  - The architecture of a system is generally established at the end of the conceptual design phase where sixty to eighty percent of the lifetime system costs are committed. The architecture influences the system’s complexity, integrality, modularity and robustness. However, such properties of system architecture are not typically analytically evaluated early on during the conceptual process. System architectures are defined using qualitative experience, and the early stage decisions are subject to the judgement of stakeholders. This article suggests a set of network-based metrics that can potentially function as early evaluation indicators to assess complexity, integrality, modularity and robustness of distributed system architectures during conceptual design. A new robustness metric is proposed that assesses the ability of architecture to support a level functional requirement of the system after a disruption. The new robustness metric is evaluated by an electrical simulation software (MATPOWER). A ship vulnerability assessment software (SURVIVE) was used to find potential disruptive events. Two technical case studies examining existing naval distributed system architectures are elaborated. Conclusions on the network modelling and metrics as early aids to assess system architectures and to choose among alternatives during the conceptual decision phase are presented. 
AB  - The architecture of a system is generally established at the end of the conceptual design phase where sixty to eighty percent of the lifetime system costs are committed. The architecture influences the system’s complexity, integrality, modularity and robustness. However, such properties of system architecture are not typically analytically evaluated early on during the conceptual process. System architectures are defined using qualitative experience, and the early stage decisions are subject to the judgement of stakeholders. This article suggests a set of network-based metrics that can potentially function as early evaluation indicators to assess complexity, integrality, modularity and robustness of distributed system architectures during conceptual design. A new robustness metric is proposed that assesses the ability of architecture to support a level functional requirement of the system after a disruption. The new robustness metric is evaluated by an electrical simulation software (MATPOWER). A ship vulnerability assessment software (SURVIVE) was used to find potential disruptive events. Two technical case studies examining existing naval distributed system architectures are elaborated. Conclusions on the network modelling and metrics as early aids to assess system architectures and to choose among alternatives during the conceptual decision phase are presented. 
AD  - University of Strathclyde, Glasgow, UK
AD  - University of Strathclyde, Glasgow, UK
AD  - University of Strathclyde, Glasgow, UK
AD  - University of Strathclyde, Glasgow, UK
AD  - BAE Systems Maritime - Naval Ships, Glasgow, UK
AD  - BAE Systems Maritime - Naval Ships, Glasgow, UK
T1  - Network-based metrics for assessment of naval distributed system architectures
DA  - 2018-10-03
AU  - Paparistodimou, G
AU  - Duffy, A
AU  - Knight, P
AU  - Whitfield, I
AU  - Robb, M
AU  - Voong, C
L1  - https://library.imarest.org/record/7600/files/INEC%202018%20Paper%20051%20Paparistodimou%20FINAL.pdf
JF  - Conference Proceedings of INEC
VL  - INEC 2018
PY  - 2018-10-03
ID  - 7600
L4  - https://library.imarest.org/record/7600/files/INEC%202018%20Paper%20051%20Paparistodimou%20FINAL.pdf
KW  - naval distributed system
KW  - evaluation indicators
KW  - network-based metrics
KW  - robustness metric
TI  - Network-based metrics for assessment of naval distributed system architectures
Y1  - 2018-10-03
L2  - https://library.imarest.org/record/7600/files/INEC%202018%20Paper%20051%20Paparistodimou%20FINAL.pdf
LK  - https://imarest.org/inec
LK  - https://library.imarest.org/record/7600/files/INEC%202018%20Paper%20051%20Paparistodimou%20FINAL.pdf
UR  - https://imarest.org/inec
UR  - https://library.imarest.org/record/7600/files/INEC%202018%20Paper%20051%20Paparistodimou%20FINAL.pdf
ER  -