A self-adaptive system of systems architecture to enable its ad-hoc scalability: Unmanned Vehicle Fleet -- Mission Control Center Case study
<|reference_start|>A self-adaptive system of systems architecture to enable its ad-hoc scalability: Unmanned Vehicle Fleet -- Mission Control Center Case study: A System of Systems (SoS) comprises Constituent Systems (CSs) that interact to provide unique capabilities beyond any single CS. A key challenge in SoS is ad-hoc scalability, meaning the system size changes during operation by adding or removing CSs. This research focuses on an Unmanned Vehicle Fleet (UVF) as a practical SoS example, addressing uncertainties like mission changes, range extensions, and UV failures. The proposed solution involves a self-adaptive system that dynamically adjusts UVF architecture, allowing the Mission Control Center (MCC) to scale UVF size automatically based on performance criteria or manually by operator decision. A multi-agent environment and rule management engine were implemented to simulate and verify this approach.<|reference_end|>
@article{sadik2024a,
    title={A self-adaptive system of systems architecture to enable its ad-hoc
  scalability: Unmanned Vehicle Fleet -- Mission Control Center Case study},
    author={Ahmed R. Sadik (Honda Research Institute Europe, Offenbach am Main,
  Germany), Bram Bolder (Honda Research Institute Europe, Offenbach am Main,
  Germany), Pero Subasic (Honda Research Institute USA, CA, United States)},
    journal={arXiv preprint arXiv:2408.03963},
    year={2024},
    doi={10.1145/3596947.3596949},
    archivePrefix={arXiv},
    eprint={2408.03963},
    primaryClass={cs.RO cs.AI cs.SE cs.SY eess.SY}
}